Triple

T33871424
Position Surface form Disambiguated ID Type / Status
Subject Janet Hodgson E868216 entity
Predicate hasMediaAppearanceAsSelf P69406 FINISHED
Object interviews about the Enfield poltergeist 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: interviews about the Enfield poltergeist | Statement: [Janet Hodgson, hasMediaAppearanceAsSelf, interviews about the Enfield poltergeist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMediaAppearanceAsSelf
Context triple: [Janet Hodgson, hasMediaAppearanceAsSelf, interviews about the Enfield poltergeist]
  • A. hasMediaAppearanceIn
    Indicates that an entity appears or is featured as media content within a specified media work, program, or publication.
  • B. mediaAppearanceWith
    Indicates that two or more entities appeared together in the same media context, such as a show, interview, article, or broadcast.
  • C. mediaAppearanceType chosen
    Indicates the specific kind or category of media appearance associated with an entity (e.g., interview, feature, cameo, or performance).
  • D. hasMediaAspect
    Indicates that something possesses a particular media-related characteristic, format, or attribute.
  • E. hasMediaStereotype
    Indicates that an entity is associated with a commonly held, simplified, and often biased portrayal in media.
  • 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_69f34995029081909ede0f7df73d1a5e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fefa064ab48190925759950d0d94d9 completed May 9, 2026, 9:10 a.m.
PD Predicate disambiguation batch_69fef96ae5d08190b027435753c44821 completed May 9, 2026, 9:07 a.m.
Created at: May 1, 2026, 1:47 a.m.