Triple

T34810978
Position Surface form Disambiguated ID Type / Status
Subject assassination of Robert F. Kennedy E1003495 entity
Predicate arrestOfPerpetrator P24149 FINISHED
Object Sirhan Sirhan was apprehended at the scene 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: Sirhan Sirhan was apprehended at the scene | Statement: [assassination of Robert F. Kennedy, arrestOfPerpetrator, Sirhan Sirhan was apprehended at the scene]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: arrestOfPerpetrator
Context triple: [assassination of Robert F. Kennedy, arrestOfPerpetrator, Sirhan Sirhan was apprehended at the scene]
  • A. arrestIs
    Indicates that one entity performs the action of arresting or taking another entity into legal custody.
  • B. arrestedWith
    Indicates that two or more individuals were arrested at the same time and in connection with the same incident or operation.
  • C. arrestedFor
    Indicates that an authority has taken someone into custody because they are suspected or accused of committing a specified offense or wrongdoing.
  • D. arrestResult
    Indicates that an arrest action has occurred and specifies the outcome or consequence resulting from that arrest.
  • E. arrestedAt chosen
    Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
  • 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.