Triple
T32092667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina defeated France in opening match |
E819636
|
entity |
| Predicate | teamCoachOfFrance |
P2169
|
FINISHED |
| Object | Bernard Laporte |
—
|
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: Bernard Laporte | Statement: [Argentina defeated France in opening match, teamCoachOfFrance, Bernard Laporte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCoachOfFrance Context triple: [Argentina defeated France in opening match, teamCoachOfFrance, Bernard Laporte]
-
A.
teamCoachOfArgentina
Indicates that one entity serves as the coach of the Argentina national team.
-
B.
governingBodyOfFranceTeam
Indicates that the subject is the organization that serves as the official governing body for the France team.
-
C.
coachOf
chosen
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
D.
coachOfGermany
Indicates that one entity serves as the coach of the German national team in a particular sport or context.
-
E.
goalsForFrance
Indicates that the subject scored a goal while playing for the France national team.
- 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_69f6b967d5308190bbb66d0a8dd52612 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:25 a.m.