Triple

T1379364
Position Surface form Disambiguated ID Type / Status
Subject Neil Gaiman E29300 entity
Predicate wrote P2831 FINISHED
Object The Graveyard Book E160761 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: The Graveyard Book | Statement: [Neil Gaiman, wrote, The Graveyard Book]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Graveyard Book
Context triple: [Neil Gaiman, wrote, The Graveyard Book]
  • A. The Graveyard Book chosen
    The Graveyard Book is a darkly whimsical children's fantasy novel by Neil Gaiman about an orphaned boy raised by ghosts in a graveyard.
  • B. Neverwhere
    Neverwhere is a dark urban fantasy novel by Neil Gaiman that explores a hidden, magical underworld beneath the streets of London.
  • C. The Boy Who Wouldn’t Die
    The Boy Who Wouldn’t Die is a memoir recounting David Nyuol Vincent’s harrowing experiences as a child refugee from the Sudanese civil war and his eventual resettlement in Australia.
  • D. The Black Windmill
    The Black Windmill is a 1974 British spy thriller film directed by Don Siegel and starring Michael Caine as an MI6 agent whose son is kidnapped by arms dealers.
  • E. Inkheart
    Inkheart is a 2008 fantasy adventure film, based on Cornelia Funke’s novel, about a man who can bring characters from books to life by reading aloud.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3187f248190a5813274b0ef944d completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0153f1648190abd63beadfb6709b completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.