Triple
T30682133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Hart |
E781081
|
entity |
| Predicate | numberOfPremierLeagueGoldenGloveAwards |
P202545
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Joe Hart, numberOfPremierLeagueGoldenGloveAwards, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPremierLeagueGoldenGloveAwards Context triple: [Joe Hart, numberOfPremierLeagueGoldenGloveAwards, 4]
-
A.
yearWonGoldenBootAward
Indicates the specific year in which an entity received the Golden Boot award.
-
B.
topGoalScorerAward
Indicates that an entity receives an award for scoring the highest number of goals in a given competition or season.
-
C.
premierLeagueGoals
Indicates the number of goals an entity has scored in the Premier League.
-
D.
wonPremierLeague
Indicates that the subject has achieved victory in the Premier League competition for at least one season.
-
E.
dateAwardedGoldenBoy
Indicates the date on which an entity was awarded the Golden Boy honor or title.
- 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a008ebb22408190a2293bced40a7e53 |
completed | May 10, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_6a008e8715dc8190ab23292605901bf4 |
completed | May 10, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_6a008eba6de8819083165152448f6071 |
completed | May 10, 2026, 1:57 p.m. |
Created at: April 29, 2026, 8:33 p.m.