Triple
T16847484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky High |
E409581
|
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: [Sky High, producer, Andrew Gunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Gunn Context triple: [Sky High, 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.
Andrew Gunn
Andrew Gunn is a British television director known for his work on series such as Doctor Who.
-
C.
Gavin Raeburn
Gavin Raeburn is a British video game developer and studio leader best known as the co-founder and former head of Playground Games, the team behind the Forza Horizon series.
-
D.
Mike Caird
Mike Caird is a Scottish football executive best known for serving as chairman of Arbroath Football Club.
-
E.
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.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b376bac48190ae09f29a28c55f8c |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a4c2a881908d2797f6e61792d3 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.