Triple
T3279178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren Lockyer |
E68831
|
entity |
| Predicate | notablePremiershipYears |
P47671
|
FINISHED |
| Object | 1997 |
—
|
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: 1997 | Statement: [Darren Lockyer, notablePremiershipYears, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePremiershipYears Context triple: [Darren Lockyer, notablePremiershipYears, 1997]
-
A.
premiershipCount
Indicates the number of premiership titles or championships an entity has won.
-
B.
firstSeasonInPremierLeague
Indicates the season in which an entity (typically a football club) first participated in the Premier League.
-
C.
yearsAsPlayerAtClub
Indicates the number of years a person spent playing for a particular club.
-
D.
PremierLeagueFoundingMember
Indicates that an entity was one of the original clubs that formed the Premier League at its inception.
-
E.
leagueChampionships
Indicates the number of league championship titles an entity has won.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0155430819097c806ee407dc1e4 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada526764881908e4bd52938d5374d |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:10 p.m.