Triple
T24587214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cesare Maldini |
E608429
|
entity |
| Predicate | numberOfEuropeanUnder21TitlesAsCoach |
P79951
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Cesare Maldini, numberOfEuropeanUnder21TitlesAsCoach, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEuropeanUnder21TitlesAsCoach Context triple: [Cesare Maldini, numberOfEuropeanUnder21TitlesAsCoach, 3]
-
A.
uefaU21Titles
chosen
Indicates the number of UEFA European Under-21 Championship titles won by an entity.
-
B.
numberOfWorldChampionsCoached
Indicates the count of distinct world champion individuals that a given coach has trained.
-
C.
numberOfUEFACupTitles
Indicates the number of UEFA Cup titles that an entity has won.
-
D.
championshipWonAsCoach
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
E.
uefaU21TitlesSeason
Indicates the number of UEFA Under-21 Championship titles a team has won in a given season.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a988393c81909f0292e9b35441d2 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.