Triple
T36717641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baa-Baas |
E906956
|
entity |
| Predicate | famousTryScorer |
P186536
|
FINISHED |
| Object | Gareth Edwards |
—
|
NE NERFINISHED |
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: Gareth Edwards | Statement: [Baa-Baas, famousTryScorer, Gareth Edwards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousTryScorer Context triple: [Baa-Baas, famousTryScorer, Gareth Edwards]
-
A.
notableGoalScorer
Indicates that the subject is recognized for having scored a significant or noteworthy number of goals, typically in a sports context.
-
B.
leadingRunScorer
Indicates that the subject is the player who has scored the most runs (the top run-scorer) in a given match, series, tournament, or season.
-
C.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
D.
goalScorer
Indicates that the subject is the player who scored a particular goal in a game or match.
-
E.
winningRunScorer
Indicates the player who scored the run that ultimately gave their team the decisive lead in the game.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:12 p.m.