Triple
T29290049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran vs Portugal (2018 FIFA World Cup Group B) |
E742635
|
entity |
| Predicate | penaltyTakerForIran |
P104225
|
FINISHED |
| Object | Karim Ansarifard |
—
|
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: Karim Ansarifard | Statement: [Iran vs Portugal (2018 FIFA World Cup Group B), penaltyTakerForIran, Karim Ansarifard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyTakerForIran Context triple: [Iran vs Portugal (2018 FIFA World Cup Group B), penaltyTakerForIran, Karim Ansarifard]
-
A.
penaltyTaker
chosen
Indicates the player who is responsible for taking a particular penalty kick in a match.
-
B.
penaltyTakerNationality
Indicates the nationality of the player who takes a given penalty.
-
C.
penaltyTakerPosition
Indicates the playing position or role of the player who takes a penalty.
-
D.
penaltyShootoutLoser
Indicates the team or player that loses a match as a result of a penalty shootout.
-
E.
penaltyShootoutWinner
Indicates that one competitor or team is the winner of a match decided by a penalty shootout.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 1:01 p.m.