Triple
T12616875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Zane |
E301276
|
entity |
| Predicate | worksAt |
P7
|
FINISHED |
| Object |
Pearson Specter
Pearson Specter is a prestigious New York City law firm in the television series "Suits," known for its high-stakes corporate cases and powerful attorneys.
|
E992076
|
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: Pearson Specter | Statement: [Rachel Zane, worksAt, Pearson Specter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pearson Specter Context triple: [Rachel Zane, worksAt, Pearson Specter]
-
A.
Dani Dennison
Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
-
B.
Chris DeWolfe
Chris DeWolfe is an American entrepreneur best known as the co-creator and former CEO of the pioneering social networking site MySpace.
-
C.
Chris Parker
Chris Parker is a video game developer and producer best known as one of the founders of the role-playing game studio Obsidian Entertainment.
-
D.
Alec Scudder
Alec Scudder is a working-class gamekeeper who becomes the passionate love interest of the title character in E.M. Forster’s novel "Maurice."
-
E.
Sam Harper
Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
- 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: Pearson Specter Triple: [Rachel Zane, worksAt, Pearson Specter]
Generated description
Pearson Specter is a prestigious New York City law firm in the television series "Suits," known for its high-stakes corporate cases and powerful attorneys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pearson Specter Target entity description: Pearson Specter is a prestigious New York City law firm in the television series "Suits," known for its high-stakes corporate cases and powerful attorneys.
-
A.
Dani Dennison
Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
-
B.
Chris DeWolfe
Chris DeWolfe is an American entrepreneur best known as the co-creator and former CEO of the pioneering social networking site MySpace.
-
C.
Chris Parker
Chris Parker is a video game developer and producer best known as one of the founders of the role-playing game studio Obsidian Entertainment.
-
D.
Alec Scudder
Alec Scudder is a working-class gamekeeper who becomes the passionate love interest of the title character in E.M. Forster’s novel "Maurice."
-
E.
Sam Harper
Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed2e12c819097cfd2a40116f491 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f65fb03b248190b264230b84b17635 |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6608ec32c8190803c6f5677c300d6 |
completed | May 2, 2026, 8:37 p.m. |
Created at: April 9, 2026, 5:13 p.m.