Triple

T13700700
Position Surface form Disambiguated ID Type / Status
Subject Nessuno si salva da solo E328507 entity
Predicate hasSeparatedCoupleProtagonists P111225 FINISHED
Object true 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: true | Statement: [Nessuno si salva da solo, hasSeparatedCoupleProtagonists, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeparatedCoupleProtagonists
Context triple: [Nessuno si salva da solo, hasSeparatedCoupleProtagonists, true]
  • A. hasMarriagePlot
    Indicates that the work’s narrative centrally involves courtship, romantic relationships, or the progression toward marriage as a key plot element.
  • B. fateAfterSeparation
    Indicates what ultimately happens to entities or their relationship after they have been separated.
  • C. separatedAlongWith
    Indicates that an entity becomes separated from something while simultaneously being accompanied or grouped with another specified entity during the separation.
  • D. hasSecondaryProtagonist
    Indicates that an entity (such as a work of fiction) features another character who serves as a secondary or supporting main protagonist alongside the primary one.
  • E. hasSpouseInStory
    Indicates that one entity is depicted as the spouse of another within the context of a particular story or narrative.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
PD Predicate disambiguation batch_69dbbe9059488190a8113177c83e1481 completed April 12, 2026, 3:47 p.m.
PDg Predicate description generation batch_69dbc59ca1a88190a6abd3bd00554c93 completed April 12, 2026, 4:17 p.m.
Created at: April 9, 2026, 9:54 p.m.