Triple

T20148241
Position Surface form Disambiguated ID Type / Status
Subject Billy Sánchez E491364 entity
Predicate hasRelationshipTypeWithNenaDaconte P138855 FINISHED
Object intense 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: intense romantic relationship | Statement: [Billy Sánchez, hasRelationshipTypeWithNenaDaconte, intense romantic relationship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRelationshipTypeWithNenaDaconte
Context triple: [Billy Sánchez, hasRelationshipTypeWithNenaDaconte, intense romantic relationship]
  • A. hasNeighborRelationshipWith
    Indicates that one entity is located adjacent to or directly next to another entity, sharing a neighbor relationship.
  • B. hasRelationshipTypeWith Alexandra Bergson
    Indicates that there exists a specific type or category of relationship between an entity and Alexandra Bergson.
  • C. hasRelationshipTypeWith Laca Klemeň
    Indicates that there exists a specific type or category of relationship between two entities, characterized or labeled as "Laca Klemeň."
  • D. hasRelationshipTypeWith Vince Tyler
    Indicates that an entity is connected to Vince Tyler by a specific, characterized type of relationship.
  • E. hasContrastingRelationshipWith
    Indicates a relationship in which two entities are opposed, divergent, or markedly different in qualities, roles, or effects.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667a0075c8190a5c4de53a0caa7f6 completed April 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69e54cfd924881909b55f3e4d3e7e070 completed April 19, 2026, 9:45 p.m.
PDg Predicate description generation batch_69e54fc2bc3c819088c33cd263303433 completed April 19, 2026, 9:57 p.m.
Created at: April 11, 2026, 11:33 p.m.