Triple
T4356463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant York |
E98158
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Howard Koch |
E134926
|
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: Howard Koch | Statement: [Sergeant York, screenwriter, Howard Koch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Koch Context triple: [Sergeant York, screenwriter, Howard Koch]
-
A.
Howard Koch
chosen
Howard Koch was an American screenwriter best known for co-writing the classic film "Casablanca" and for his work in radio and Hollywood during the mid-20th century.
-
B.
Harry Waxman
Harry Waxman was a British cinematographer known for his work on numerous mid-20th-century films, including the 1960 adaptation of "Swiss Family Robinson."
-
C.
Ralph Berkowitz
Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
-
D.
Charles Fleischmann
Charles Fleischmann was a 19th-century entrepreneur and co-founder of the Fleischmann Yeast Company, which revolutionized commercial baking in the United States.
-
E.
Ralph Guggenheim
Ralph Guggenheim is an American film producer best known for his work at Pixar, where he helped pioneer computer-animated feature filmmaking.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c68a588190ba14a298afacb1dc |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbb9b9988190adf8a84de3582ab6 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.