Triple
T15870134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Pirès |
E384809
|
entity |
| Predicate | yearsAtClub_AstonVilla |
P41877
|
FINISHED |
| Object | 2010–2011 |
—
|
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: 2010–2011 | Statement: [Robert Pirès, yearsAtClub_AstonVilla, 2010–2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsAtClub_AstonVilla Context triple: [Robert Pirès, yearsAtClub_AstonVilla, 2010–2011]
-
A.
yearsAsPlayerAtClub
chosen
Indicates the number of years a person spent playing for a particular club.
-
B.
debutForAstonVillaYear
Indicates the year in which an entity made its debut appearance for Aston Villa.
-
C.
premiershipYearAsPlayer
Indicates the year in which an individual participated as a player on a team that won a premiership or championship title.
-
D.
managerYearsAtFCBarcelona
Indicates the number of years an individual served as a manager at FC Barcelona.
-
E.
mostSeasonsClub
Indicates that a club holds the record for participating in the highest number of seasons within a given competition or league.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.