Triple
T18812564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Te Kaunihera o Tāmaki Makaurau |
E460051
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object | Wayne Brown |
—
|
NE NERFINISHED |
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: Wayne Brown | Statement: [Te Kaunihera o Tāmaki Makaurau, hasMayor, Wayne Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wayne Brown Context triple: [Te Kaunihera o Tāmaki Makaurau, hasMayor, Wayne Brown]
-
A.
Wayne Brown
chosen
Wayne Brown is a New Zealand businessman and politician who serves as the Mayor of Auckland.
-
B.
Pat Gibbs
Pat Gibbs is an American football coach and the father of NASCAR driver Ty Gibbs.
-
C.
Randall Mays
Randall Mays is an American businessman best known for his leadership roles in Clear Channel Communications, the media company co-founded by his father, Lowry Mays.
-
D.
Bobby Reynolds
Bobby Reynolds is a former professional baseball player best known for his brief marriage to country music singer Trisha Yearwood.
-
E.
Gator Bodine
Gator Bodine is a violent meth-dealing antagonist in the action thriller film "Homefront," known for clashing with the protagonist in a small Louisiana town.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dcc7d88190801d9c9202e0e411 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.