Triple

T26558231
Position Surface form Disambiguated ID Type / Status
Subject Tom Lucitor E666170 entity
Predicate relationshipTypeWithStar Butterfly P10690 FINISHED
Object on-and-off romantic relationship 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: on-and-off romantic relationship | Statement: [Tom Lucitor, relationshipTypeWithStar Butterfly, on-and-off romantic relationship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithStar Butterfly
Context triple: [Tom Lucitor, relationshipTypeWithStar Butterfly, on-and-off romantic relationship]
  • A. relationshipType chosen
    Indicates the specific kind of relationship that exists between two or more entities.
  • B. opusRelationship
    Indicates a relationship between creative works (opuses), such as versions, adaptations, or parts within a larger compositional whole.
  • C. showsRelationshipWith
    Indicates that one entity visually or explicitly presents or demonstrates its connection or association with another entity.
  • D. haveRelationshipWith
    Indicates that one entity is in some form of defined relationship or association with another entity.
  • E. basisOfRelationship
    Indicates that one entity serves as the foundational reason, cause, or justification for the relationship that exists between two or more entities.
  • 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_69ee9cf7e94481909f0d556b36e43572 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69fe87b609888190913b0c3f787ecdba completed May 9, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69fe8731af48819092084f6f74bf052d completed May 9, 2026, 1 a.m.
Created at: April 27, 2026, 1:51 a.m.