Triple
T14126537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Cole |
E340047
|
entity |
| Predicate | premierLeagueGoals |
P112908
|
FINISHED |
| Object | 187 |
—
|
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: 187 | Statement: [Andrew Cole, premierLeagueGoals, 187]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premierLeagueGoals Context triple: [Andrew Cole, premierLeagueGoals, 187]
-
A.
premierLeagueHatTricks
Indicates that the subject has scored one or more hat-tricks (three goals in a single match) in English Premier League games.
-
B.
premierLeagueRecord
Indicates that there exists a record or statistic specifically associated with performance or achievement in the Premier League.
-
C.
topGoalScorerGoals
Indicates the number of goals scored by the top goal scorer in a given context or competition.
-
D.
championsGoalsFor
Indicates that an entity actively supports, advocates for, or works to advance the goals of another entity.
-
E.
rankAllTimeGoals
Indicates a relationship that orders entities based on the total number of goals they have scored across all time.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6096976481909dc79066c5165a50 |
completed | April 14, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:22 p.m.