Triple

T18154111
Position Surface form Disambiguated ID Type / Status
Subject George Zucco E434582 entity
Predicate notableWork P4 FINISHED
Object The Black Raven 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: The Black Raven | Statement: [George Zucco, notableWork, The Black Raven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Black Raven
Context triple: [George Zucco, notableWork, The Black Raven]
  • A. The Black Raven chosen
    The Black Raven is a work associated with Rhys Williams, likely a creative piece such as a film, book, or play for which he is best known.
  • B. The Black
    The Black is the powerful, untamed Arabian stallion who forms a deep bond with a young boy in Walter Farley’s classic horse adventure series.
  • C. Blackcock’s Feather
    Blackcock’s Feather is an adventure novel by Irish writer Maurice Walsh, best known for its blend of romance, rural life, and historical drama.
  • D. The Black Unicorn
    The Black Unicorn is a seminal 1978 poetry collection by Audre Lorde that explores Black womanhood, identity, and mythology through powerful, lyrical verse.
  • E. The Black Dream
    The Black Dream is a 1911 silent drama film starring Danish actress Asta Nielsen, known for showcasing her pioneering, naturalistic screen acting.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de3a99c081908e9615072e62b02f completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:30 a.m.