Triple
T7530227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knots Landing |
E178002
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | David Jacobs |
E679938
|
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: David Jacobs | Statement: [Knots Landing, executiveProducer, David Jacobs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Jacobs Context triple: [Knots Landing, executiveProducer, David Jacobs]
-
A.
David Jacobs
chosen
David Jacobs is an American television writer and producer best known for creating the prime-time soap operas "Knots Landing" and co-creating "Dallas."
-
B.
Charles Jacobs
Charles Jacobs was an entrepreneur best known as a founder of Delaware North, a major global hospitality and food service company.
-
C.
Larry Jacobson
Larry Jacobson is a television producer best known for his role as an executive producer on the late-night talk program "The Jay Leno Show."
-
D.
David Schiff
David Schiff is a contemporary American composer and music scholar known for his genre-blending works and writings on modern music.
-
E.
Jay Rabinowitz
Jay Rabinowitz is a film editor known for his work on numerous feature films, including the science-fiction thriller "The Adjustment Bureau."
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81fbd4c8190b8ffedf1dbbb43aa |
completed | March 27, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c968cfdb1081908961f825b616a708 |
completed | March 29, 2026, 6 p.m. |
Created at: March 27, 2026, 3:47 p.m.