Triple
T5809805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester Kallman |
E128839
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Ned Rorem |
E205895
|
NE FINISHED |
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: Ned Rorem | Statement: [Chester Kallman, collaboratedWith, Ned Rorem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ned Rorem Context triple: [Chester Kallman, collaboratedWith, Ned Rorem]
-
A.
Ned Rorem
chosen
Ned Rorem was an American composer and diarist renowned for his art songs and influential contributions to 20th-century classical music.
-
B.
Randall Thompson
Randall Thompson was a prominent 20th-century American composer best known for his choral works, including the frequently performed piece "Alleluia."
-
C.
Jerome Moross
Jerome Moross was an American composer best known for his sweeping, Americana-infused film scores and concert works, particularly in the Western genre.
-
D.
Eric Coates
Eric Coates was a British composer best known for his light orchestral music and popular marches that became widely familiar through radio and film.
-
E.
Eric Coates
Eric Coates was a British computer scientist known for his involvement in early information retrieval and classification research, including work with the influential Classification Research Group.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098416504819089356b68fabdf737 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:52 p.m.