Triple
T6285231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diego Simeone |
E140882
|
entity |
| Predicate | wonLeagueAsManager |
P51745
|
FINISHED |
| Object | La Liga 2013-14 with Atlético de Madrid |
—
|
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: La Liga 2013-14 with Atlético de Madrid | Statement: [Diego Simeone, wonLeagueAsManager, La Liga 2013-14 with Atlético de Madrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonLeagueAsManager Context triple: [Diego Simeone, wonLeagueAsManager, La Liga 2013-14 with Atlético de Madrid]
-
A.
wonAsManager
Indicates that one entity achieved a victory or title while serving in the role of manager of the other entity.
-
B.
leagueChampionshipWonAsManager
chosen
Indicates that the person has won a league championship in the role of a manager for the specified team or organization.
-
C.
workedInLeagueAsManager
Indicates that a person has held a managerial role within a specific sports league.
-
D.
continentalTitleWonAsManager
Indicates that the person has won a continental-level competition title in the role of a manager.
-
E.
worldSeriesTitlesAsManager
Indicates the number of World Series championships an individual has won specifically in the role of a team manager.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fc906481908283c6c50a212515 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c0560a0270819098ad2785b91e8f39 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.