Triple
T417319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Burnham |
E8021
|
entity |
| Predicate | unsuccessfulCandidacyFor |
P12344
|
FINISHED |
| Object | Leader of the Labour Party |
—
|
LITERAL 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: Leader of the Labour Party | Statement: [Andy Burnham, unsuccessfulCandidacyFor, Leader of the Labour Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unsuccessfulCandidacyFor Context triple: [Andy Burnham, unsuccessfulCandidacyFor, Leader of the Labour Party]
-
A.
defeatedCandidate
Indicates that one candidate has won an election or contest against another candidate, causing the other to lose.
-
B.
wasCandidateIn
chosen
Indicates that an entity served as a candidate in a particular election, contest, or selection process.
-
C.
candidateNomination
Indicates that an individual is formally put forward or proposed as a candidate for a position, role, or office.
-
D.
popularVoteLoser
Indicates that the subject became the winner of an election despite receiving fewer popular votes than at least one opponent.
-
E.
notAwardedFor
Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
- F. None of above.
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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd1ca148190a66bd8c5aad867d5 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.