Triple

T37159713
Position Surface form Disambiguated ID Type / Status
Subject Ken Cosgrove E920611 entity
Predicate hasStorylineEvent P110520 FINISHED
Object loses vision in one eye in a hunting accident 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: loses vision in one eye in a hunting accident | Statement: [Ken Cosgrove, hasStorylineEvent, loses vision in one eye in a hunting accident]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStorylineEvent
Context triple: [Ken Cosgrove, hasStorylineEvent, loses vision in one eye in a hunting accident]
  • A. hasNarrativeEvent chosen
    Indicates that one entity includes, contains, or is associated with a specific narrative event within a story or sequence of events.
  • B. storylineEvent
    Indicates that one event occurs as a distinct step or component within a larger narrative or storyline.
  • C. hasNarrativeArcOf
    Indicates that one entity embodies, represents, or corresponds to the narrative arc (story progression or plot structure) of another entity.
  • D. hasNarrativeArcIn
    Indicates that an entity’s storyline or narrative progression occurs within or is contained by a specified work, context, or medium.
  • E. hasStorylineType
    Indicates that an entity’s storyline belongs to or is categorized under a specific type or narrative classification.
  • 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_69f76ea0429081908c711b55599eac3c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a007241df8081909dbad651fda82aa7 completed May 10, 2026, 11:55 a.m.
PD Predicate disambiguation batch_6a0071e77ed081908cd618da8977d878 completed May 10, 2026, 11:54 a.m.
Created at: May 3, 2026, 4:15 p.m.