Triple
T11196895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaw |
E264945
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Irwin Shaw |
E516459
|
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: Irwin Shaw | Statement: [Shaw, hasNotableBearer, Irwin Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irwin Shaw Context triple: [Shaw, hasNotableBearer, Irwin Shaw]
-
A.
Irwin Shaw
chosen
Irwin Shaw was an American playwright, screenwriter, and novelist best known for works such as "The Young Lions" and "Rich Man, Poor Man."
-
B.
John O'Hara
John O'Hara was an American novelist and short story writer best known for his sharp social realism in works such as "Appointment in Samarra" and "BUtterfield 8."
-
C.
Irving Morrow
Irving Morrow was an American architect best known for designing the Art Deco elements and iconic International Orange color scheme of San Francisco’s Golden Gate Bridge.
-
D.
John Cheever
John Cheever was a prominent 20th-century American writer best known for his incisive short stories and novels depicting the anxieties and contradictions of suburban middle-class life.
-
E.
John P. Marquand
John P. Marquand was an American novelist best known for his Pulitzer Prize–winning fiction and for creating the Japanese secret agent character Mr. Moto.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c082fc8190866c574f698b59ef |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4840640688190a5b3c36883b8fce8 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 8, 2026, 9:29 p.m.