Triple
T8005902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis de la Fuente |
E186362
|
entity |
| Predicate | startTimeAsHeadCoachOfSpain |
P7106
|
FINISHED |
| Object | 2022-12 |
—
|
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: 2022-12 | Statement: [Luis de la Fuente, startTimeAsHeadCoachOfSpain, 2022-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsHeadCoachOfSpain Context triple: [Luis de la Fuente, startTimeAsHeadCoachOfSpain, 2022-12]
-
A.
hiredAsHeadCoachYear
Indicates the year in which an individual was hired to serve as the head coach of a team or organization.
-
B.
headCoachStartYear
chosen
Indicates the year in which an individual began serving as the head coach of a team or organization.
-
C.
managerDebutAtRealMadridFirstTeam
Indicates that a person made their managerial debut specifically with the first team of Real Madrid.
-
D.
beganHeadCoachingCareerWith
Indicates that an individual started their head coaching career with a specified team or organization.
-
E.
startTimeAtTeam_FCBarcelona
Indicates the time at which an entity begins its association or activity with the team FC Barcelona.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf72fc08190aa78b97c1ab92f90 |
completed | March 31, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:18 p.m.