Triple
T3083249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Arellano |
E64306
|
entity |
| Predicate | roleAtClub |
P13665
|
FINISHED |
| Object | player-founder of Colo-Colo |
—
|
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: player-founder of Colo-Colo | Statement: [David Arellano, roleAtClub, player-founder of Colo-Colo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtClub Context triple: [David Arellano, roleAtClub, player-founder of Colo-Colo]
-
A.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
B.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
-
C.
supportsClubIdentity
Indicates that one entity actively upholds, reinforces, or contributes to maintaining the identity, values, or character of a club.
-
D.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
-
E.
supportsClubInLeague
Indicates that one entity provides backing or sponsorship for a club participating in a particular league.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e877008190aacbd6f1357bdb9b |
completed | March 8, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69ad9debb6308190be28378ae1fc98af |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.