Triple

T24652346
Position Surface form Disambiguated ID Type / Status
Subject U2 E610285 entity
Predicate hasLongTermDesignRelationshipWith P146314 FINISHED
Object Steve Averill 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: Steve Averill | Statement: [U2, hasLongTermDesignRelationshipWith, Steve Averill]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLongTermDesignRelationshipWith
Context triple: [U2, hasLongTermDesignRelationshipWith, Steve Averill]
  • A. hasDesignRelationship chosen
    Indicates that there exists a design-based relationship or association between two entities, such as one influencing, constraining, or deriving from the design of the other.
  • B. hasContrastingRelationshipWith
    Indicates a relationship in which two entities are opposed, divergent, or markedly different in qualities, roles, or effects.
  • C. allyRelation
    Indicates a cooperative, supportive relationship in which the entities act as allies toward shared or aligned goals.
  • D. hasNeighborRelationshipWith
    Indicates that one entity is located adjacent to or directly next to another entity, sharing a neighbor relationship.
  • E. laterRelationWith
    Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
  • 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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f41011d8048190be70329ba0bfb7c7 completed May 1, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f40ed9d47881909fcfc0d04e8d074a completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 2:34 a.m.