Triple
T10253617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolás Sánchez |
E240405
|
entity |
| Predicate | playsInBackline |
P11751
|
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: [Nicolás Sánchez, playsInBackline, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsInBackline Context triple: [Nicolás Sánchez, playsInBackline, yes]
-
A.
playsWith
Indicates that one entity engages in play or recreational activity together with another entity.
-
B.
workedAsSessionMusicianFor
Indicates that one entity performed as a session musician providing musical services or recordings for another entity, typically an artist, band, or production.
-
C.
hasBackingBand
Indicates that an artist or performer is supported musically by a specific band that plays instruments or accompaniment for them.
-
D.
playsInPosition
chosen
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
-
E.
hasBackingMusician
Indicates that one entity serves as a supporting or accompanying musician for another entity, typically in a performance or recording context.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:29 a.m.