Triple
T22337899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Villas-Boas |
E552198
|
entity |
| Predicate | positionPlayedAsManager |
P147835
|
FINISHED |
| Object | head coach |
—
|
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: head coach | Statement: [André Villas-Boas, positionPlayedAsManager, head coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionPlayedAsManager Context triple: [André Villas-Boas, positionPlayedAsManager, head coach]
-
A.
playedForManager
Indicates that one person was a player on a team that was managed or coached by another person.
-
B.
workedInLeagueAsManager
Indicates that a person has held a managerial role within a specific sports league.
-
C.
winningPercentageAsManager
Indicates the proportion of games a person has won while serving in the role of manager.
-
D.
wonAsManager
Indicates that one entity achieved a victory or title while serving in the role of manager of the other entity.
-
E.
finalSeasonAsManager
Indicates the specific season that marks the last one in which an individual serves in the role of manager.
- F. None of above. chosen
Provenance (4 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1578184f481908d4ec1737a8a72d4 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.