Triple

T14129177
Position Surface form Disambiguated ID Type / Status
Subject John Brierley E340115 entity
Predicate bookAdaptationTitle P94268 FINISHED
Object Lion E62098 NE FINISHED

How this triple was built (3 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: Lion | Statement: [John Brierley, bookAdaptationTitle, Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lion
Context triple: [John Brierley, bookAdaptationTitle, Lion]
  • A. Lion chosen
    Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
  • B. Lion
    Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
  • C. Lion
    Lion is a mysterious, magical pink lion who serves as a companion and guardian to Steven in the animated series "Steven Universe."
  • D. Lion
    The lion is a large, social big cat native to Africa and parts of India, known for its strength, pride-based groups, and iconic status as a symbol of courage and leadership.
  • E. Lion
    Lion is a major Australasian beverage company known for producing and distributing a wide range of beer, wine, and dairy products.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bookAdaptationTitle
Context triple: [John Brierley, bookAdaptationTitle, Lion]
  • A. titleOfBookAdaptation chosen
    Indicates that one entity is the title of a book from which the other entity (an adaptation, such as a film or series) is derived.
  • B. isTelevisionAdaptationOf
    Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
  • C. inFilmAdaptation
    Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
  • D. hasGraphicNovelAdaptation
    Indicates that a work has been adapted into a graphic novel format.
  • E. filmAdaptationFormat
    Indicates the specific medium or format (e.g., feature film, TV movie, short film) in which a work has been adapted into a film.
  • F. None of above.

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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0ed0a88190a7126887364fccdd completed May 7, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69de05b5e7a08190a16be9ad8b92b80c completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:23 p.m.