Triple

T34005025
Position Surface form Disambiguated ID Type / Status
Subject Angelito E871934 entity
Predicate featuresNarrativeAbout P112925 FINISHED
Object a young woman who dies after contracting HIV 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: a young woman who dies after contracting HIV | Statement: [Angelito, featuresNarrativeAbout, a young woman who dies after contracting HIV]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresNarrativeAbout
Context triple: [Angelito, featuresNarrativeAbout, a young woman who dies after contracting HIV]
  • A. coreNarrative
    Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
  • B. narrativeCharacteristic
    Indicates that one entity serves as a descriptive or defining narrative feature or quality of another entity.
  • C. narrativeDescription
    Indicates that one entity provides a textual or spoken account describing the events, context, or details related to another entity.
  • D. notableFeatureInStory chosen
    Indicates that a particular feature, element, or characteristic plays a significant or prominent role within a story.
  • E. featuresIntroductionOf
    Indicates that one entity includes or presents the introduction or opening section created by another entity.
  • 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_69f349a08848819084b348d64c1879c3 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a02efcb13248190a0bef09ba7869ada completed May 12, 2026, 9:15 a.m.
PD Predicate disambiguation batch_6a024995e1d081908783ca294d1397c3 completed May 11, 2026, 9:26 p.m.
Created at: May 1, 2026, 1:50 a.m.