Triple
T6332908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cruella |
E142423
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andrew Gunn |
E583601
|
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: Andrew Gunn | Statement: [Cruella, producer, Andrew Gunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Gunn Context triple: [Cruella, producer, Andrew Gunn]
-
A.
Andrew Gunn
chosen
Andrew Gunn is an American film producer known for his work on family-oriented and teen-focused movies, including several popular Disney films.
-
B.
Kevin Beattie
Kevin Beattie was an English central defender renowned as one of Ipswich Town’s greatest ever players and a standout talent of 1970s English football.
-
C.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
-
D.
Greg Austin
Greg Austin is a British actor best known for his roles in television series such as "Mr Selfridge" and the "Doctor Who" spin-off "Class."
-
E.
Ian Wilson
Ian Wilson was a British cinematographer known for his work on films such as the 1996 adaptation of "Emma."
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63864d6b48190af090c1ba1487e9b |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:30 p.m.