Triple

T38372085
Position Surface form Disambiguated ID Type / Status
Subject murder of George Floyd E892611 entity
Predicate hasInvolvedOfficer P187044 FINISHED
Object Derek Chauvin 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: Derek Chauvin | Statement: [murder of George Floyd, hasInvolvedOfficer, Derek Chauvin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInvolvedOfficer
Context triple: [murder of George Floyd, hasInvolvedOfficer, Derek Chauvin]
  • A. involvedOfficer chosen
    Indicates that an officer participated in, was connected to, or played a role in a particular incident, case, or event.
  • B. hasAuthorityInvolved
    Indicates that an authority or official body is involved in, oversees, or has jurisdiction over the referenced situation or relationship.
  • C. hasMemberInvolvedIn
    Indicates that a group or collective entity has at least one of its members participating in or engaged with a specified activity, event, or situation.
  • D. hasStateInvolved
    Indicates that a particular state (as a political or administrative entity) participates in, is implicated in, or plays a role within a given situation, event, or relationship.
  • E. hasBeenInvolvedIn
    Indicates that an entity has participated in, taken part in, or been connected to a particular event, activity, or situation.
  • 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_69f76e47cb4c8190bdd92cd1db59c0c5 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a0154b16a3c8190b808a460ae3a91ac completed May 11, 2026, 4:01 a.m.
PD Predicate disambiguation batch_6a01539f19d88190b2de63f5262b1074 completed May 11, 2026, 3:57 a.m.
Created at: May 3, 2026, 4:31 p.m.