Triple
T2797819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan Cruyff |
E53079
|
entity |
| Predicate | achievementAsManager |
P31072
|
FINISHED |
| Object | won European Cup with FC Barcelona in 1992 |
—
|
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: won European Cup with FC Barcelona in 1992 | Statement: [Johan Cruyff, achievementAsManager, won European Cup with FC Barcelona in 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: achievementAsManager Context triple: [Johan Cruyff, achievementAsManager, won European Cup with FC Barcelona in 1992]
-
A.
wonAsManager
Indicates that one entity achieved a victory or title while serving in the role of manager of the other entity.
-
B.
careerManagerialWins
Indicates the total number of games or contests an individual has won in a managerial role over the course of their entire career.
-
C.
sportsAchievement
Indicates a relationship where an entity attains or is recognized for a notable accomplishment in a sports context.
-
D.
continentalTitleWonAsManager
chosen
Indicates that the person has won a continental-level competition title in the role of a manager.
-
E.
achievementStatus
Indicates the current state or level of completion of an achievement-related goal or milestone for an entity.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf204148190a53f3f30d645d94c |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.