Triple
T33450588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Lassiter |
E856626
|
entity |
| Predicate | goalscoringStyle |
P108718
|
FINISHED |
| Object | prolific goal-scorer in MLS |
—
|
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: prolific goal-scorer in MLS | Statement: [Roy Lassiter, goalscoringStyle, prolific goal-scorer in MLS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalscoringStyle Context triple: [Roy Lassiter, goalscoringStyle, prolific goal-scorer in MLS]
-
A.
goalscoringRole
Indicates that an entity plays the primary role in scoring goals within a game, match, or competitive context.
-
B.
goalsScoringMethod
Indicates the method or manner by which goals are scored or achieved in a given context.
-
C.
isProlificGoalScorer
chosen
Indicates that an entity consistently scores a high number of goals, marking them as notably productive or effective in goal scoring.
-
D.
goalScorerIn
Indicates that an entity is the player who scored a goal in a particular match or event.
-
E.
goalScorer
Indicates that the subject is the player who scored a particular goal in a game or match.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4ab88b8819084f370c6640fe346 |
completed | May 3, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.