Triple
T823865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Pearce |
E17808
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Jack Irish |
E98468
|
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: Jack Irish | Statement: [Guy Pearce, notableWork, Jack Irish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Irish Context triple: [Guy Pearce, notableWork, Jack Irish]
-
A.
Jack Irish
chosen
Jack Irish is a fictional Australian former criminal lawyer turned private investigator and debt collector, best known as the title character in a series of crime novels by Peter Temple and their television adaptations.
-
B.
Callaghan
Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
-
C.
Peter James
Peter James is a bestselling British crime and thriller novelist, best known for his Roy Grace detective series.
-
D.
James Arthur Monk
James Arthur Monk, better known as Art Monk, is a Hall of Fame former NFL wide receiver renowned for his prolific career with the Washington Redskins and multiple Super Bowl victories.
-
E.
Fergus Cullen
Fergus Cullen is an American political strategist and former chairman of the New Hampshire Republican Party.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab7d3984819089aefbf12d3b3c2c |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a79291d51c81908163024842300a6e |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.