Triple
T7044293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deuces Wild |
E163591
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Frank Sacks |
E163591
|
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: Frank Sacks | Statement: [Deuces Wild, producer, Frank Sacks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Sacks Context triple: [Deuces Wild, producer, Frank Sacks]
-
A.
Frank Sacks
chosen
Frank Sacks is a film producer best known for his work on the crime drama movie "Deuces Wild."
-
B.
Jerome Sacks
Jerome Sacks is an American statistician known for his contributions to experimental design, statistical theory, and the development of computer experiments.
-
C.
Stephen H. Sachs
Stephen H. Sachs is an American lawyer and politician who served as Maryland’s attorney general and was known for his work on legal reform and civil rights.
-
D.
Michael Sacks
Michael Sacks is an American actor best known for his role as Billy Pilgrim in the film adaptation of Kurt Vonnegut’s "Slaughterhouse-Five."
-
E.
Michael A. Gottlieb
Michael A. Gottlieb is a physicist and editor known for his work on Richard Feynman–related educational materials, including co-editing "Feynman’s Tips on Physics."
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e23730888190a827ca5c61c4eed0 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7887799f48190b4fa311defd8e9fd |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:37 p.m.