Triple
T10075443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Austin |
E213741
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Greg Austin |
E213741
|
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: Greg Austin | Statement: [Greg Austin, name, Greg Austin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Austin Context triple: [Greg Austin, name, Greg Austin]
-
A.
Greg Austin
chosen
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."
-
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.
Phil Callaghan
Phil Callaghan is a person notable enough to be recognized as a bearer of the surname Callaghan.
-
D.
Andy Cullen
Andy Cullen is a fictional character from the classic 1950 film noir "The Man Who Cheated Himself."
-
E.
Andrew Gunn
Andrew Gunn is an American film producer known for his work on family-oriented and teen-focused movies, including several popular Disney 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd017b8288190a577bd66e4ba66b7 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29abcb72c81908c265f057532ccb7 |
completed | April 5, 2026, 5:24 p.m. |
Created at: March 30, 2026, 8:59 p.m.