Triple

T9345283
Position Surface form Disambiguated ID Type / Status
Subject Dermot Crowley E224872 entity
Predicate notableWork P4 FINISHED
Object Bleak House E53906 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: Bleak House | Statement: [Dermot Crowley, notableWork, Bleak House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bleak House
Context triple: [Dermot Crowley, notableWork, Bleak House]
  • A. Bleak House chosen
    Bleak House is a BBC television adaptation of Charles Dickens's novel, known for its ensemble cast and serialized, fast-paced retelling of the classic Victorian story.
  • B. Bleak House
    Bleak House is a Victorian novel by Charles Dickens that satirizes the British legal system through the long-running court case of Jarndyce and Jarndyce.
  • C. Little Dorrit
    Little Dorrit is a novel by Charles Dickens that critiques Victorian society and the debtors' prison system through the life of its impoverished heroine, Amy Dorrit.
  • D. Barnaby Rudge
    Barnaby Rudge is a historical novel by Charles Dickens that dramatizes social unrest and religious tension in late 18th-century England.
  • E. Ward of Cornhill
    The Ward of Cornhill is one of the historic administrative and electoral divisions of the City of London, centered on the traditional commercial area around Cornhill.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0ce7b881908714ab526d94fa1d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e41ccdcc8190b2939716984b2c7b completed April 4, 2026, 10:12 a.m.
Created at: March 30, 2026, 7:41 p.m.