Triple

T12191890
Position Surface form Disambiguated ID Type / Status
Subject Antonín Panenka scored a chipped penalty in the shoot-out E290482 entity
Predicate goalkeeperAction P104232 FINISHED
Object dove to his left 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: dove to his left | Statement: [Antonín Panenka scored a chipped penalty in the shoot-out, goalkeeperAction, dove to his left]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goalkeeperAction
Context triple: [Antonín Panenka scored a chipped penalty in the shoot-out, goalkeeperAction, dove to his left]
  • A. goaltender
    Indicates a relationship where an entity serves as the goalkeeper or primary defender of the goal for a team in a game or sport.
  • B. losingGoaltender
    Indicates that a particular goaltender is the one who was in net for the team that lost the game.
  • C. penaltyShootoutSaveBy
    Indicates that a penalty kick taken during a shootout is successfully saved or stopped by a specified goalkeeper.
  • D. bestGoalkeeper
    Indicates that the subject is considered the top-performing or most skilled goalkeeper among a specified group or context.
  • E. goalkeeperPositionRequirement
    Indicates the required or expected positioning of a goalkeeper relative to the play, goal, or field in a given situation.
  • F. None of above. chosen

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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d938cd2edc8190b1971349dbc0dee0 completed April 10, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69d91c38321c819080d500d0d64a04f6 completed April 10, 2026, 3:50 p.m.
PDg Predicate description generation batch_69d938ca32908190bd56f563efcbe8a0 completed April 10, 2026, 5:52 p.m.
Created at: April 8, 2026, 9:50 p.m.