Triple
T5251031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Patrick Mason |
E118586
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | David Weisberg |
E213776
|
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 Weisberg | Statement: [John Patrick Mason, createdBy, David Weisberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Weisberg Context triple: [John Patrick Mason, createdBy, David Weisberg]
-
A.
David Weisberg
chosen
David Weisberg is a screenwriter best known for co-writing the action film "The Rock" and other Hollywood thrillers.
-
B.
Robert K. Weiss
Robert K. Weiss is an American film and television producer best known for his work on comedy projects such as "The Naked Gun" series and collaborations with the Zucker brothers.
-
C.
Daniel H. Weiss
Daniel H. Weiss is an American art historian and academic leader who served as president and CEO of New York’s Metropolitan Museum of Art.
-
D.
John Weiss
John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
-
E.
David Weisbart
David Weisbart was an American film editor and producer best known for his work on influential mid-20th-century Hollywood dramas and youth-oriented 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b79ae0c81908a9b8614f6886259 |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfe323ed188190ad52dec581218e07 |
completed | March 22, 2026, 12:40 p.m. |
Created at: March 20, 2026, 1:50 p.m.