Triple

T20744580
Position Surface form Disambiguated ID Type / Status
Subject Dylan Moran E510543 entity
Predicate coCreatorOf P806 FINISHED
Object Black Books 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: Black Books | Statement: [Dylan Moran, coCreatorOf, Black Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Books
Context triple: [Dylan Moran, coCreatorOf, Black Books]
  • A. Black Books chosen
    Black Books is a British sitcom centered on the misanthropic owner of a chaotic London bookshop, known for its dark humor and cult following.
  • B. The Brown Book
    The Brown Book is one of Ludwig Wittgenstein’s posthumously published lecture notes that outline his transitional philosophical ideas between the Tractatus and his later work in the Philosophical Investigations.
  • C. The Black Book
    The Black Book is a crime novel in Ian Rankin’s Inspector Rebus series, known for its dark Edinburgh setting and intricate, long-buried secrets.
  • D. The Black Book
    The Black Book is a postmodern novel by Turkish author Orhan Pamuk that blends mystery, philosophical reflection, and Istanbul’s labyrinthine atmosphere to explore identity and storytelling.
  • E. The Black Book
    The Black Book is a film featuring Portuguese actress Daniela Melchior in its cast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.