Triple
T20462358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detective Story |
E501956
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Robert Swink |
—
|
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: Robert Swink | Statement: [Detective Story, editor, Robert Swink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Swink Context triple: [Detective Story, editor, Robert Swink]
-
A.
Robert Swink
chosen
Robert Swink was an American film editor known for his work on numerous classic Hollywood films, including "Roman Holiday."
-
B.
Robert Westerholt
Robert Westerholt is a Dutch guitarist and songwriter best known as a founding member of the symphonic metal band Within Temptation.
-
C.
Peter Schink
Peter Schink is a film editor known for his work on the 1996 action film "Barb Wire."
-
D.
Peter Schink
Peter Schink is a screenwriter best known for co-writing the apocalyptic action-horror film "Legion" (2010).
-
E.
Fred Schaus
Fred Schaus was an American basketball coach and executive best known for coaching the early Los Angeles Lakers teams led by Jerry West and later serving in front-office and collegiate coaching roles.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a761648190b24cf4bb90a8abb1 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.