Triple
T12722647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Brash |
E304023
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Don Brash |
E304023
|
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: Don Brash | Statement: [Don Brash, name, Don Brash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Brash Context triple: [Don Brash, name, Don Brash]
-
A.
Don Brash
chosen
Don Brash is a New Zealand economist and former politician best known for leading the National Party and serving as Leader of the Opposition in the early 2000s.
-
B.
Christopher Luxon
Christopher Luxon is a New Zealand politician and former airline executive who serves as the country's prime minister and leader of the National Party.
-
C.
Andrew Little
Andrew Little is a New Zealand politician and former leader of the Labour Party who served as Leader of the Opposition before later holding several ministerial roles in government.
-
D.
Kit Fraser
Kit Fraser is a cinematographer known for his work on the British thriller film "I Came By."
-
E.
Kevin Smuts
Kevin Smuts is a South African composer best known for scoring the Oscar-winning documentary film "My Octopus Teacher."
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c841edc81909147d30c51471c47 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:24 p.m.