Triple
T5842609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neymar Jr. |
E129628
|
entity |
| Predicate | clubDebutYearForBarcelona |
P31380
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Neymar Jr., clubDebutYearForBarcelona, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubDebutYearForBarcelona Context triple: [Neymar Jr., clubDebutYearForBarcelona, 2013]
-
A.
managerYearsAtFCBarcelona
Indicates the number of years an individual served as a manager at FC Barcelona.
-
B.
clubDebutSeason
chosen
Indicates the season in which an entity (typically a player) first appeared in competitive action for a particular club.
-
C.
managerDebutAtRealMadridFirstTeam
Indicates that a person made their managerial debut specifically with the first team of Real Madrid.
-
D.
managerDebutYear
Indicates the year in which an individual first began their role as a manager.
-
E.
numberOfLaLigaTitlesWithBarcelona
Indicates the number of La Liga championship titles an entity has won while playing for or being associated with FC Barcelona.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:54 p.m.