Triple
T20117631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George S. Kaufman |
E490507
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Moss Hart |
—
|
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: Moss Hart | Statement: [George S. Kaufman, collaboratedWith, Moss Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moss Hart Context triple: [George S. Kaufman, collaboratedWith, Moss Hart]
-
A.
Moss Hart
chosen
Moss Hart was a prominent American playwright and director best known for his Broadway collaborations with George S. Kaufman and his influential contributions to mid-20th-century theater and film.
-
B.
Ruth Price
Ruth Price is a person known primarily as a family member of Andrew Price.
-
C.
Elmer Rice
Elmer Rice was an American playwright and director best known for his innovative and socially conscious dramas in the early 20th century.
-
D.
Chester Kallman
Chester Kallman was an American poet and librettist best known for his long-term personal and artistic collaboration with W. H. Auden on numerous opera libretti and translations.
-
E.
Laura Pels
Laura Pels was a prominent French-born arts patron and philanthropist known for her significant support of theater, particularly in New York.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673ab4e08190b76ec742605e103b |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.