Triple

T34810992
Position Surface form Disambiguated ID Type / Status
Subject assassination of Robert F. Kennedy E1003495 entity
Predicate victimFormerOffice P22872 FINISHED
Object United States Attorney General NE NERFINISHED

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: United States Attorney General | Statement: [assassination of Robert F. Kennedy, victimFormerOffice, United States Attorney General]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: victimFormerOffice
Context triple: [assassination of Robert F. Kennedy, victimFormerOffice, United States Attorney General]
  • A. victimHeldOffice
    Indicates that the victim previously occupied or served in an official position or public office.
  • B. victimFormerTitle chosen
    Indicates that the victim previously held the specified title, position, or role before the relevant event or time.
  • C. victimPoliticalStatus
    Indicates that the victim holds or is associated with a particular political role, affiliation, or status in relation to the event or action.
  • D. formerOfficialIn
    Indicates that an entity once held an official position or office within another entity but no longer does.
  • E. builtUnderPoliticalOffice
    Indicates that the construction or creation of something occurred during the tenure of a particular political office or officeholder.
  • 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_69f76db600b88190989abdf08fce3b27 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77ab4a9dc8190ad41fb613f35ddad completed May 3, 2026, 4:41 p.m.
PD Predicate disambiguation batch_69f7795b1abc8190823664d1caa94649 completed May 3, 2026, 4:35 p.m.
Created at: May 3, 2026, 3:59 p.m.