Triple
T26967391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Cup 2008 |
E679206
|
entity |
| Predicate | newYorkRedBullsGoalScorer |
P2695
|
FINISHED |
| Object | John Wolyniec |
E170130
|
NE 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: John Wolyniec | Statement: [MLS Cup 2008, newYorkRedBullsGoalScorer, John Wolyniec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newYorkRedBullsGoalScorer Context triple: [MLS Cup 2008, newYorkRedBullsGoalScorer, John Wolyniec]
-
A.
newYorkRedBullsGoals
Indicates the number of goals scored by the New York Red Bulls in a given match or context.
-
B.
finalGoalscorer
Indicates that an entity is the player who scored the last goal in a particular match or event.
-
C.
Taylor Twellman
Indicates a relationship or action involving the entity associated with the name "Taylor Twellman," such as participation in or connection to events, organizations, or roles linked to that individual.
-
D.
goalScorer
chosen
Indicates that the subject is the player who scored a particular goal in a game or match.
-
E.
notableGoalScorer
Indicates that the subject is recognized for having scored a significant or noteworthy number of goals, typically in a sports context.
- F. None of above.
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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1253666df081908c7020659375bc2b |
completed | May 24, 2026, 1:24 a.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 6:36 a.m.