Triple
T10532376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weil, Gotshal & Manges LLP |
E248476
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Sylvan Gotshal
Sylvan Gotshal was an American lawyer and co-founder of the prominent international law firm Weil, Gotshal & Manges LLP.
|
E876881
|
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: Sylvan Gotshal | Statement: [Weil, Gotshal & Manges LLP, foundedBy, Sylvan Gotshal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvan Gotshal Context triple: [Weil, Gotshal & Manges LLP, foundedBy, Sylvan Gotshal]
-
A.
Kenneth Posner
Kenneth Posner is a prominent American theatrical lighting designer known for his work on numerous Broadway productions.
-
B.
Theodore Shapiro
Theodore Shapiro is an American film composer known for his work on numerous Hollywood comedies and dramas, including scores for major studio films.
-
C.
Millard Lampell
Millard Lampell was an American writer and folk singer best known for his socially conscious work in radio, film, and music, and for being blacklisted during the McCarthy era.
-
D.
Paul Goldstein
Paul Goldstein is a prominent American legal scholar and author, best known for his influential work in intellectual property and copyright law.
-
E.
Harold Lipstein
Harold Lipstein was an American cinematographer known for his work on mid-20th-century Hollywood films.
- 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: Sylvan Gotshal Triple: [Weil, Gotshal & Manges LLP, foundedBy, Sylvan Gotshal]
Generated description
Sylvan Gotshal was an American lawyer and co-founder of the prominent international law firm Weil, Gotshal & Manges LLP.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sylvan Gotshal Target entity description: Sylvan Gotshal was an American lawyer and co-founder of the prominent international law firm Weil, Gotshal & Manges LLP.
-
A.
Kenneth Posner
Kenneth Posner is a prominent American theatrical lighting designer known for his work on numerous Broadway productions.
-
B.
Theodore Shapiro
Theodore Shapiro is an American film composer known for his work on numerous Hollywood comedies and dramas, including scores for major studio films.
-
C.
Millard Lampell
Millard Lampell was an American writer and folk singer best known for his socially conscious work in radio, film, and music, and for being blacklisted during the McCarthy era.
-
D.
Paul Goldstein
Paul Goldstein is a prominent American legal scholar and author, best known for his influential work in intellectual property and copyright law.
-
E.
Harold Lipstein
Harold Lipstein was an American cinematographer known for his work on mid-20th-century Hollywood films.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a17f23081909f3372e160e21670 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a05ffdc8190a69b39c807a06042 |
completed | April 10, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e015b088190a97822675eecaa5a |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 6, 2026, 12:30 p.m.