Triple
T15930861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan Moffat |
E386318
|
entity |
| Predicate | hasRivalryWith |
P893
|
FINISHED |
| Object | Peter Brock |
E93671
|
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: Peter Brock | Statement: [Allan Moffat, hasRivalryWith, Peter Brock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Brock Context triple: [Allan Moffat, hasRivalryWith, Peter Brock]
-
A.
Peter Brock
chosen
Peter Brock was a legendary Australian touring car driver, best known for his multiple Bathurst 1000 victories and iconic status in Holden motorsport history.
-
B.
Jim May
Jim May is a film editor best known for his work on major action movies, including the 2010 adaptation of "The A-Team."
-
C.
Jim May
Jim May is an editor known for his work on the role-playing game publication "Pathfinder."
-
D.
Tom Georgeson
Tom Georgeson is a British character actor known for his work in film and television, including roles in comedies, dramas, and crime series.
-
E.
Ian Kirkwood
Ian Kirkwood is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Kirkwood.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a5b9348190962ddc1c35caf44f |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b2a8888190824f2252b65920f2 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.