Triple
T10390890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turbo |
E244888
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Robert D. Siegel |
E452641
|
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: Robert D. Siegel | Statement: [Turbo, screenwriter, Robert D. Siegel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert D. Siegel Context triple: [Turbo, screenwriter, Robert D. Siegel]
-
A.
Robert D. Siegel
chosen
Robert D. Siegel is an American screenwriter and director best known for writing character-driven dramas such as the film "The Wrestler."
-
B.
James D. Stern
James D. Stern is an American film producer and director known for backing a range of acclaimed independent and genre films, as well as documentaries.
-
C.
Roger L. Simon
Roger L. Simon is an American novelist, screenwriter, and co-founder of PJ Media, best known for his Moses Wine detective novels and the screenplay for the film "Enemies, A Love Story."
-
D.
Alan M. Garber
Alan M. Garber is an American physician-economist and academic leader known for his work in health policy and for serving in top administrative roles at Harvard University.
-
E.
Robert M. Weitman
Robert M. Weitman was an American film producer active in mid-20th-century Hollywood, known for overseeing a range of studio features and genre films.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b4f7d08190bcb16d3b4c8f22ad |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58a50d0748190a429af33cdced80a |
completed | April 20, 2026, 2:07 a.m. |
Created at: April 6, 2026, 12:06 p.m.