Triple

T28315876
Position Surface form Disambiguated ID Type / Status
Subject Nineteen Eighty-Four (1954 BBC adaptation) E717133 entity
Predicate depictsFictionalConcept P33556 FINISHED
Object Big Brother NE NERFINISHED

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: Big Brother | Statement: [Nineteen Eighty-Four (1954 BBC adaptation), depictsFictionalConcept, Big Brother]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: depictsFictionalConcept
Context triple: [Nineteen Eighty-Four (1954 BBC adaptation), depictsFictionalConcept, Big Brother]
  • A. depictsFictionalPlace
    Indicates that one entity visually represents or portrays a place that exists only in fiction rather than in the real world.
  • B. portraysFictionalEntity chosen
    Indicates that one entity depicts, represents, or plays the role of a fictional character or figure.
  • C. portraysFictionalized
    Indicates that one entity represents or depicts another entity in a fictionalized or altered manner, rather than as a strictly accurate portrayal.
  • D. depictionBasedOn
    Indicates that one depiction is created using another work, image, or representation as its source or reference.
  • E. hasFictionalType
    Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
  • 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_69eff6e6c3b08190ad78de6ba7f04548 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f6c1265c208190aacd2b551f8f0f82 completed May 3, 2026, 3:29 a.m.
PD Predicate disambiguation batch_69f6bd2415fc81908c23c311aebce66f completed May 3, 2026, 3:12 a.m.
Created at: April 28, 2026, 12:20 a.m.