Triple
T29906465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghana vs United States (2014 FIFA World Cup) |
E759548
|
entity |
| Predicate | goalScorerGhana |
P162959
|
FINISHED |
| Object | André Ayew |
—
|
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: André Ayew | Statement: [Ghana vs United States (2014 FIFA World Cup), goalScorerGhana, André Ayew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalScorerGhana Context triple: [Ghana vs United States (2014 FIFA World Cup), goalScorerGhana, André Ayew]
-
A.
goalScorer
Indicates that the subject is the player who scored a particular goal in a game or match.
-
B.
goalScorerIn
chosen
Indicates that an entity is the player who scored a goal in a particular match or event.
-
C.
finalGoalscorer
Indicates that an entity is the player who scored the last goal in a particular match or event.
-
D.
notableGoalScorer
Indicates that the subject is recognized for having scored a significant or noteworthy number of goals, typically in a sports context.
-
E.
NigeriaGoals
Indicates a relationship where certain goals, objectives, or targets are specifically associated with or set for Nigeria.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 29, 2026, 6:08 p.m.