Triple
T5973026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tata Martino |
E132919
|
entity |
| Predicate | coachedAtClubWithPlayer |
P67795
|
FINISHED |
| Object | Lionel Messi at FC Barcelona |
—
|
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: Lionel Messi at FC Barcelona | Statement: [Tata Martino, coachedAtClubWithPlayer, Lionel Messi at FC Barcelona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedAtClubWithPlayer Context triple: [Tata Martino, coachedAtClubWithPlayer, Lionel Messi at FC Barcelona]
-
A.
teamCoachedFrom
Indicates that a coaching relationship exists where a coach is responsible for training or managing a team originating from a specific organization, location, or context.
-
B.
teamCoachedFromTo
Indicates a coaching relationship where a person served as coach of a team during a specific time interval from a start date to an end date.
-
C.
previousTrainingGroundOfClub
Indicates that a location served as an earlier or former training ground used by a particular club.
-
D.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
E.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
- F. None of above. chosen
Provenance (4 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:03 p.m.