Triple
T23101129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Steal |
E576032
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object | David Parker |
—
|
NE NERFINISHED |
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 Parker | Statement: [The Big Steal, cinematography, David Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Parker Context triple: [The Big Steal, cinematography, David Parker]
-
A.
David Parker
David Parker is one of the children of acclaimed American crime novelist Robert B. Parker.
-
B.
David Parker
David Parker is an actor known for his role in the 2001 biographical television film "James Dean."
-
C.
David Parker
David Parker is an Australian politician who notably served as Treasurer of Western Australia.
-
D.
David Parker
David Parker is a film producer known for his work on the Australian psychological thriller "In Her Skin."
-
E.
David Parker
chosen
David Parker is a screenwriter best known for co-writing the Australian crime-comedy film "The Big Steal."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de8c5b4819095cddf989cade60d |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.