Triple

T4652899
Position Surface form Disambiguated ID Type / Status
Subject Pedro Muzquiz E102337 entity
Predicate romanceObstructedBy P58221 FINISHED
Object family tradition that youngest daughter cannot marry 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: family tradition that youngest daughter cannot marry | Statement: [Pedro Muzquiz, romanceObstructedBy, family tradition that youngest daughter cannot marry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: romanceObstructedBy
Context triple: [Pedro Muzquiz, romanceObstructedBy, family tradition that youngest daughter cannot marry]
  • A. romanticArc
    Indicates a developing or ongoing romantic relationship or storyline between the involved entities.
  • B. hasRomanticTensionWith
    Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
  • C. seducedBy
    Indicates that one entity has been romantically or sexually enticed, persuaded, or lured into intimacy or a relationship by another entity.
  • D. romanticReputation
    Indicates how an entity is perceived or regarded by others in the context of romantic behavior, history, or involvement.
  • E. loveInterest
    Indicates that one entity is the romantic object of affection or attraction for another entity.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6314883481908f085a7af497b0d8 completed March 20, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69bd62126b0c81909ba3f21b21e30d54 completed March 20, 2026, 3:04 p.m.
PDg Predicate description generation batch_69bd631328fc81909b28ae0a2a3ed9bb completed March 20, 2026, 3:09 p.m.
Created at: March 20, 2026, 1:14 p.m.