Triple

T9565776
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Holmes in The Dropout E230784 entity
Predicate facesInNarrative P38554 FINISHED
Object legal scrutiny 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: legal scrutiny | Statement: [Elizabeth Holmes in The Dropout, facesInNarrative, legal scrutiny]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: facesInNarrative
Context triple: [Elizabeth Holmes in The Dropout, facesInNarrative, legal scrutiny]
  • A. narrativeFrame
    Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
  • B. hasPartInNarrative chosen
    Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative entity.
  • C. narrativeSubject
    Indicates that an entity functions as the main subject or focal point within a narrative or story.
  • D. narrativeConnection
    Indicates a meaningful relationship between elements within a narrative, such as events, characters, or scenes, that links them in terms of plot, causality, or thematic continuity.
  • E. occupiesNarrativeSpace
    Indicates that an entity takes up or is present within a particular portion or region of a narrative’s structure or progression.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996c0a1081908a8356c454e60f74 completed April 1, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69ccd594d0ac8190a81bc11a3a538167 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:04 p.m.