Triple

T16009352
Position Surface form Disambiguated ID Type / Status
Subject Bad Wolf E388298 entity
Predicate basedOnAdaptationsOf P36849 FINISHED
Object Philip Pullman E157965 NE 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: Philip Pullman | Statement: [Bad Wolf, basedOnAdaptationsOf, Philip Pullman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Pullman
Context triple: [Bad Wolf, basedOnAdaptationsOf, Philip Pullman]
  • A. Philip Pullman chosen
    Philip Pullman is a British author best known for his fantasy trilogy "His Dark Materials," acclaimed for its imaginative world-building and philosophical depth.
  • B. Michel Faber
    Michel Faber is a Dutch-born British novelist best known for his critically acclaimed works such as "The Crimson Petal and the White" and the science fiction novel "Under the Skin."
  • C. Anthony Gaiman
    Anthony Gaiman is the son of American musician and performance artist Amanda Palmer and British author Neil Gaiman.
  • D. Neil Gaiman
    Neil Gaiman is a British author renowned for his imaginative fantasy works across novels, comics, and screen, including "American Gods," "Coraline," and the graphic novel series "The Sandman."
  • E. Michael Ende
    Michael Ende was a German fantasy author best known for writing the novel "The NeverEnding Story," as well as other influential works like "Momo."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828e9e708190aec0078913bf098a completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf24a9d8819083d7b11d71442da6 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.