Triple
T14126538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Cole |
E340047
|
entity |
| Predicate | premierLeagueAllTimeRankingByGoals |
P71035
|
FINISHED |
| Object | among top scorers |
—
|
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: among top scorers | Statement: [Andrew Cole, premierLeagueAllTimeRankingByGoals, among top scorers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premierLeagueAllTimeRankingByGoals Context triple: [Andrew Cole, premierLeagueAllTimeRankingByGoals, among top scorers]
-
A.
rankAllTimeGoals
chosen
Indicates a relationship that orders entities based on the total number of goals they have scored across all time.
-
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.
FIFAWorldCupGoalsRank
Indicates the ranking of entities based on the number of goals they have scored in FIFA World Cup competitions.
-
E.
premierLeagueHatTricks
Indicates that the subject has scored one or more hat-tricks (three goals in a single match) in English Premier League games.
- 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_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. |
Created at: April 9, 2026, 10:22 p.m.