Triple
T7735697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas Zelarayán |
E175373
|
entity |
| Predicate | playedForStartYear |
P67438
|
FINISHED |
| Object | Belgrano:2012 |
—
|
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: Belgrano:2012 | Statement: [Lucas Zelarayán, playedForStartYear, Belgrano:2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForStartYear Context triple: [Lucas Zelarayán, playedForStartYear, Belgrano:2012]
-
A.
playedCareerStartYear
chosen
Indicates the calendar year in which an entity’s playing career (such as a professional or competitive role) began.
-
B.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
C.
directorStartYear
Indicates the year in which an individual began serving as a director (e.g., of a film, organization, or project).
-
D.
playedInYear
Indicates that an entity participated in or was active in a particular activity, event, or role during a specified calendar year.
-
E.
playedInDecade
Indicates that an entity (such as a person, team, or performer) participated in or played during a specified decade.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.