Triple

T25597645
Position Surface form Disambiguated ID Type / Status
Subject State of Wyoming v. Aaron McKinney E641696 entity
Predicate involvedVictimSexualOrientation P4324 FINISHED
Object gay 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: gay | Statement: [State of Wyoming v. Aaron McKinney, involvedVictimSexualOrientation, gay]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvedVictimSexualOrientation
Context triple: [State of Wyoming v. Aaron McKinney, involvedVictimSexualOrientation, gay]
  • A. sexualOrientation chosen
    Indicates an entity’s enduring pattern of romantic or sexual attraction toward others, typically in terms of the genders or sexes to which it is attracted.
  • B. sexualOrientationRevealedIn
    Indicates that an entity’s sexual orientation is disclosed, made known, or becomes apparent within a specified context, medium, or situation.
  • C. victimsGender
    Indicates that the relationship specifies the gender of the victims involved in an event or situation.
  • D. exploresSexualOrientation
    Indicates that an entity engages in examining, questioning, or discovering their own or another’s sexual orientation.
  • E. victimGroupContext
    Indicates the contextual circumstances or setting in which a victim group is targeted, affected, or involved in an event or action.
  • 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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f67c9fe7b48190b79b4041357edb49 completed May 2, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69f678cc272081909e5c70f1bc7407f0 completed May 2, 2026, 10:21 p.m.
Created at: April 21, 2026, 4:28 p.m.