Triple
T12327429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomás Ángel |
E293867
|
entity |
| Predicate | hasPlayedInPositionCategory |
P11751
|
FINISHED |
| Object | attacking player |
—
|
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: attacking player | Statement: [Tomás Ángel, hasPlayedInPositionCategory, attacking player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedInPositionCategory Context triple: [Tomás Ángel, hasPlayedInPositionCategory, attacking player]
-
A.
positionPlayedForTeam
Indicates the specific playing position or role an individual held while participating on a particular team.
-
B.
playsInPosition
chosen
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
-
C.
hasCareerGamesPlayed
Indicates the total number of games an entity has played over the course of its entire career.
-
D.
hasNotablePosition
Indicates that an entity holds or has held a position, role, or office considered notable or significant.
-
E.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.