Triple

T16434739
Position Surface form Disambiguated ID Type / Status
Subject 2007 Knoxville murders of Channon Christian and Christopher Newsom E399152 entity
Predicate victimRelationship P122774 FINISHED
Object romantic couple 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: romantic couple | Statement: [2007 Knoxville murders of Channon Christian and Christopher Newsom, victimRelationship, romantic couple]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: victimRelationship
Context triple: [2007 Knoxville murders of Channon Christian and Christopher Newsom, victimRelationship, romantic couple]
  • A. victimRelation
    Indicates that one entity is the victim or target of harm, wrongdoing, or an adverse action caused by another entity.
  • B. victimRole
    Indicates that one entity participates in an event or situation specifically in the role of the victim or harmed party.
  • C. victimGroup
    Indicates that one group or entity is the target or recipient of harm, abuse, or wrongdoing caused by another.
  • D. victimStatus
    Indicates the condition or state of a person who has been harmed or wronged as a result of an event, action, or offense.
  • E. victimGroupContext
    Indicates the contextual circumstances or setting in which a victim group is targeted, affected, or involved in an event or action.
  • F. None of above. chosen

Provenance (4 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba1023481909588aa6a3c677886 completed April 18, 2026, 6:58 a.m.
PD Predicate disambiguation batch_69e22701d2288190bf8676050758f172 completed April 17, 2026, 12:26 p.m.
PDg Predicate description generation batch_69e24556c1348190902a4d116c3137d9 completed April 17, 2026, 2:36 p.m.
Created at: April 10, 2026, 5:10 a.m.