Triple
T33450599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Lassiter |
E856626
|
entity |
| Predicate | sportNumberOfGoalsRecordContext |
P103762
|
FINISHED |
| Object | single-season goal-scoring record in early MLS history |
—
|
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: single-season goal-scoring record in early MLS history | Statement: [Roy Lassiter, sportNumberOfGoalsRecordContext, single-season goal-scoring record in early MLS history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportNumberOfGoalsRecordContext Context triple: [Roy Lassiter, sportNumberOfGoalsRecordContext, single-season goal-scoring record in early MLS history]
-
A.
recordGoalsHolder
chosen
Indicates that the subject entity holds the record for the highest number of goals scored in a given context.
-
B.
totalGoalsRecord
Indicates the total number of goals that have been recorded for an entity across all relevant events or contexts.
-
C.
goalsScoredInRecordMatch
Indicates the number of goals an entity scored in a specific record-setting match.
-
D.
topGoalScorerGoals
Indicates the number of goals scored by the top goal scorer in a given context or competition.
-
E.
famousGoalAgainst
Indicates that one entity is widely recognized for scoring a notable or iconic goal against another entity.
- 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_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:37 a.m.