Triple

T25597612
Position Surface form Disambiguated ID Type / Status
Subject Aaron McKinney E641695 entity
Predicate motiveDescribedAs P6699 FINISHED
Object anti-gay bias and robbery 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: anti-gay bias and robbery | Statement: [Aaron McKinney, motiveDescribedAs, anti-gay bias and robbery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: motiveDescribedAs
Context triple: [Aaron McKinney, motiveDescribedAs, anti-gay bias and robbery]
  • A. motive chosen
    Indicates the underlying reason, intention, or driving force that explains why an entity performs or is associated with a particular action or event.
  • B. depictsMotive
    Indicates that one entity visually represents or illustrates the motive, intention, or underlying reason associated with another entity or action.
  • C. motivationFor
    Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
  • D. motivatedByGoal
    Indicates that an action, behavior, or state occurs as a result of an intention to achieve a specific goal or desired outcome.
  • E. legendaryMotive
    Indicates a motive or driving reason behind an action or state that is regarded as legendary, iconic, or of mythic significance.
  • 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_69f5f9a420f08190a8ed8c9a8c245fc4 completed May 2, 2026, 1:18 p.m.
PD Predicate disambiguation batch_69f4a0f7c6008190ae8cee3e71e19b94 completed May 1, 2026, 12:47 p.m.
Created at: April 21, 2026, 4:28 p.m.