Triple
T8451064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Said |
E199798
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement
"She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement" is a nonfiction book by New York Times reporters Jodi Kantor and Megan Twohey that chronicles their investigation into Harvey Weinstein’s sexual misconduct and the rise of the #MeToo movement.
|
E734883
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement | Statement: [She Said, basedOn, She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement Context triple: [She Said, basedOn, She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement]
-
A.
Me Too (novel)
Me Too is a novel whose story inspired the film "All of Me."
-
B.
Class Action: The Story of Lois Jenson and the Landmark Case That Changed Sexual Harassment Law
"Class Action: The Story of Lois Jenson and the Landmark Case That Changed Sexual Harassment Law" is a nonfiction book that chronicles Lois Jenson’s pioneering lawsuit over workplace sexual harassment in a Minnesota iron mine, a case that helped transform U.S. sexual harassment law.
-
C.
Me Too
"Me Too" is a 2016 upbeat pop song by Meghan Trainor that celebrates self-confidence and body positivity.
-
D.
The Good Girls Revolt
The Good Girls Revolt is an American period drama television series that follows a group of young female researchers at a 1960s news magazine as they challenge systemic gender discrimination and fight for workplace equality.
-
E.
The Business of Being a Woman
"The Business of Being a Woman" is a 1912 nonfiction book by muckraking journalist Ida Tarbell that examines women’s roles, work, and social responsibilities in early 20th-century American society.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement Triple: [She Said, basedOn, She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement]
Generated description
"She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement" is a nonfiction book by New York Times reporters Jodi Kantor and Megan Twohey that chronicles their investigation into Harvey Weinstein’s sexual misconduct and the rise of the #MeToo movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement Target entity description: "She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement" is a nonfiction book by New York Times reporters Jodi Kantor and Megan Twohey that chronicles their investigation into Harvey Weinstein’s sexual misconduct and the rise of the #MeToo movement.
-
A.
Me Too (novel)
Me Too is a novel whose story inspired the film "All of Me."
-
B.
Class Action: The Story of Lois Jenson and the Landmark Case That Changed Sexual Harassment Law
"Class Action: The Story of Lois Jenson and the Landmark Case That Changed Sexual Harassment Law" is a nonfiction book that chronicles Lois Jenson’s pioneering lawsuit over workplace sexual harassment in a Minnesota iron mine, a case that helped transform U.S. sexual harassment law.
-
C.
Me Too
"Me Too" is a 2016 upbeat pop song by Meghan Trainor that celebrates self-confidence and body positivity.
-
D.
The Good Girls Revolt
The Good Girls Revolt is an American period drama television series that follows a group of young female researchers at a 1960s news magazine as they challenge systemic gender discrimination and fight for workplace equality.
-
E.
The Business of Being a Woman
"The Business of Being a Woman" is a 1912 nonfiction book by muckraking journalist Ida Tarbell that examines women’s roles, work, and social responsibilities in early 20th-century American society.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44815488190a912d63512e19af0 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dd14484819082f0319455011a22 |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce1eddb9988190a77ab59f2867ad5d |
completed | April 2, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1fb9b03c819089976283e1c53ca5 |
completed | April 2, 2026, 7:50 a.m. |
Created at: March 30, 2026, 6:09 p.m.