Triple
T29092225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement |
E734883
|
entity |
| Predicate | workLocationOfAuthors |
P166916
|
FINISHED |
| Object | The New York Times |
—
|
NE NERFINISHED |
How this triple was built (2 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: The New York Times | Statement: [She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement, workLocationOfAuthors, The New York Times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workLocationOfAuthors Context triple: [She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement, workLocationOfAuthors, The New York Times]
-
A.
workAuthoredIn
Indicates that a work was created or written in a particular place or time context.
-
B.
authorResidenceAtPublication
Indicates the place where an author was residing at the time a particular work was published.
-
C.
workLocationOfAuthorDuringEvents
Indicates the place where an author was working during the time period in which the referenced events occurred.
-
D.
basedOnWorkAuthorAssociatedWith
Indicates that one entity is derived from or related to a work whose author is associated with another specified entity.
-
E.
hasWorksLocatedIn
Indicates that the works or creations associated with an entity are situated or stored in a specified location.
- F. None of above. chosen
Provenance (4 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f664aa283c8190a869d0555eff60c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 11:06 a.m.