Triple

T14656149
Position Surface form Disambiguated ID Type / Status
Subject Fifty-Two Pickup E344112 entity
Predicate hasMaritalInfidelitySubplot P115233 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: [Fifty-Two Pickup, hasMaritalInfidelitySubplot, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMaritalInfidelitySubplot
Context triple: [Fifty-Two Pickup, hasMaritalInfidelitySubplot, 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. hasIllegitimateChildPlotline
    Indicates that a narrative includes a storyline involving a character having a child born outside of a legally or socially recognized partnership.
  • C. hasJealousHusbandCharacter
    Indicates that an entity includes or involves a husband character who experiences or expresses jealousy in the context of the relationship or narrative.
  • D. hasAffairWith
    Indicates that one entity is engaged in a secret or illicit romantic or sexual relationship with another entity, typically outside a committed partnership.
  • E. wasCheatedOnBy
    Indicates that one entity was the victim of infidelity committed by another entity in a romantic or committed relationship.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69de6576f0208190aa94d995e797ac38 completed April 14, 2026, 4:04 p.m.
PDg Predicate description generation batch_69de716c17cc8190aeb85296abee85a7 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:27 a.m.