Triple

T35790546
Position Surface form Disambiguated ID Type / Status
Subject Lights over Phoenix E1034680 entity
Predicate notableWitnessRole P9232 FINISHED
Object Governor of Arizona at the time 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: Governor of Arizona at the time | Statement: [Lights over Phoenix, notableWitnessRole, Governor of Arizona at the time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableWitnessRole
Context triple: [Lights over Phoenix, notableWitnessRole, Governor of Arizona at the time]
  • A. notableWitness chosen
    Indicates that one entity is a significant or prominent witness to an event, action, or situation involving another entity.
  • B. notableHolderRole
    Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
  • C. notableBearerOfRole
    Indicates that an entity is a particularly prominent or well-known holder or performer of a specified role.
  • D. notableRecipientRole
    Indicates that an entity has received a notable award, honor, or recognition specifically in the capacity of a particular role or position.
  • E. onlyWitnessOf
    Indicates that one entity is the sole witness to an event, action, or situation involving another entity, with no other witnesses present.
  • 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_69f76e1575908190aaa306d843b41c14 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:06 p.m.