Triple
T8023727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xavi Hernández |
E186800
|
entity |
| Predicate | managerialCareer |
P80626
|
FINISHED |
| Object | 2019–2021 (Al Sadd SC manager) |
—
|
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: 2019–2021 (Al Sadd SC manager) | Statement: [Xavi Hernández, managerialCareer, 2019–2021 (Al Sadd SC manager)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managerialCareer Context triple: [Xavi Hernández, managerialCareer, 2019–2021 (Al Sadd SC manager)]
-
A.
managerialCareerStart
Indicates the point in time when an individual begins their professional role as a manager or coach.
-
B.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
C.
managerialCareerEnd
Indicates the point in time or event at which an individual's managerial career comes to an end.
-
D.
businessCareer
Indicates a relationship where an entity’s professional life, roles, or progression is specifically within the field of business or commerce.
-
E.
careerType
Indicates the kind or category of professional occupation or career path associated with an entity.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e90c7348190abc1013a312e4f1a |
completed | March 31, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:21 p.m.