Triple
T32093085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Farrell |
E819646
|
entity |
| Predicate | competitionWonAsCoach |
P7572
|
FINISHED |
| Object | Six Nations Championship |
—
|
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: Six Nations Championship | Statement: [Andy Farrell, competitionWonAsCoach, Six Nations Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionWonAsCoach Context triple: [Andy Farrell, competitionWonAsCoach, Six Nations Championship]
-
A.
championshipWonAsCoach
chosen
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
B.
medalWonAsCoach
Indicates that an individual has won a medal in the role of a coach rather than as a competitor.
-
C.
notableAchievementAsCoach
Indicates that the subject has a significant or distinguished accomplishment specifically in their role as a coach.
-
D.
conferenceChampionshipsWonAsCoach
Indicates the number of conference championship titles an individual has won while serving in the role of coach.
-
E.
hasWinningCoach
Indicates that an entity (such as a team or athlete) is associated with the coach who led them to a victory or championship.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: May 1, 2026, 12:25 a.m.