Triple
T11036969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who: The Movie |
E260910
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Philip Segal |
E742750
|
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: Philip Segal | Statement: [Doctor Who: The Movie, executiveProducer, Philip Segal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Segal Context triple: [Doctor Who: The Movie, executiveProducer, Philip Segal]
-
A.
Philip Segal
chosen
Philip Segal is a television producer best known for his work on genre and reality-based series, including serving as an executive producer on the darkly comedic show "1000 Ways to Die."
-
B.
Douglas Segal
Douglas Segal is a film producer best known for his work on the action-comedy movie "Bulletproof Monk."
-
C.
J. David Siegel
J. David Siegel is a film editor known for his work on major animated features, including the superhero comedy "DC League of Super-Pets."
-
D.
Andrew Shulkind
Andrew Shulkind is a cinematographer known for his atmospheric and visually immersive work in genre films and television.
-
E.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e9e3fc8190802195ac9fcb8e28 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e712e6288481908071e248a50209e0 |
completed | April 21, 2026, 6:02 a.m. |
Created at: April 8, 2026, 9:25 p.m.