Triple
T12381956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abedi Pele |
E295765
|
entity |
| Predicate | clubNumberOfSeasonsAtMarseille |
P104665
|
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: [Abedi Pele, clubNumberOfSeasonsAtMarseille, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNumberOfSeasonsAtMarseille Context triple: [Abedi Pele, clubNumberOfSeasonsAtMarseille, 3]
-
A.
yearsAsPlayerAtClub
Indicates the number of years a person spent playing for a particular club.
-
B.
numberOfCoupeDeLaLigueTitles
Indicates the total count of Coupe de la Ligue titles that an entity has won.
-
C.
mostSeasonsClub
Indicates that a club holds the record for participating in the highest number of seasons within a given competition or league.
-
D.
managerYearsAtFCBarcelona
Indicates the number of years an individual served as a manager at FC Barcelona.
-
E.
clubDebutYearForParisSaintGermain
Indicates the year in which an entity made its club debut for Paris Saint-Germain.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbb3a2481908c2fcb5e6488eb3c |
completed | April 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93fa244148190a960be3ff6f1cf45 |
completed | April 10, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.