Triple
T24890256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raúl Jiménez |
E622976
|
entity |
| Predicate | playsInAttack |
P78138
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Raúl Jiménez, playsInAttack, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsInAttack Context triple: [Raúl Jiménez, playsInAttack, yes]
-
A.
playsRoleInOffense
chosen
Indicates that an entity performs a specific function or position within an offensive strategy or system.
-
B.
playsAssociationFootballIn
Indicates that an entity participates in playing association football (soccer) within or for a specified place, organization, or context.
-
C.
playsWith
Indicates that one entity engages in play or recreational activity together with another entity.
-
D.
hasAttack
Indicates that one entity performs, possesses, or is associated with an attack directed toward another entity.
-
E.
playsInPosition
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:26 a.m.