Triple
T755261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Escape from Alcatraz |
E15540
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Don Siegel |
E102695
|
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: Don Siegel | Statement: [Escape from Alcatraz, producer, Don Siegel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Siegel Context triple: [Escape from Alcatraz, producer, Don Siegel]
-
A.
Don Siegel
chosen
Don Siegel was an American film director best known for his taut, hard-edged action and crime dramas, including classics like "Dirty Harry" and "Invasion of the Body Snatchers."
-
B.
Tom Benedek
Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
-
C.
Reg Rogers
Reg Rogers is an American character actor known for his work in film, television, and theater, often portraying eccentric or villainous roles.
-
D.
Samuel Fuller
Samuel Fuller was an English physician and prominent Pilgrim who sailed on the Mayflower and served as the chief doctor for the Plymouth Colony.
-
E.
Peter Bogdanovich
Peter Bogdanovich was an influential American filmmaker, critic, and historian associated with the New Hollywood movement, best known for directing films like "The Last Picture Show" and "Paper Moon."
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6693cbc8190a167e12a896d7ce7 |
completed | March 1, 2026, 8:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b83948b48190af0349dd73ec3951 |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:37 p.m.