Triple
T7869884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaun Wright-Phillips |
E182710
|
entity |
| Predicate | yearJoinedQueensParkRangers |
P79456
|
FINISHED |
| Object | 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: 2011 | Statement: [Shaun Wright-Phillips, yearJoinedQueensParkRangers, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearJoinedQueensParkRangers Context triple: [Shaun Wright-Phillips, yearJoinedQueensParkRangers, 2011]
-
A.
yearsAsPlayerAtClub
Indicates the number of years a person spent playing for a particular club.
-
B.
premiershipYearAsPlayer
Indicates the year in which an individual participated as a player on a team that won a premiership or championship title.
-
C.
firstSeasonInPremierLeague
Indicates the season in which an entity (typically a football club) first participated in the Premier League.
-
D.
leftClubYear
Indicates the year in which an entity departed or ceased membership from a particular club.
-
E.
clubRetirementFromArsenalYear
Indicates the year in which an entity retired from playing for the club Arsenal.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:55 p.m.