Triple

T21446040
Position Surface form Disambiguated ID Type / Status
Subject Abi Bach E529077 entity
Predicate notableWork P4 FINISHED
Object The Long Firm 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 Long Firm | Statement: [Abi Bach, notableWork, The Long Firm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Long Firm
Context triple: [Abi Bach, notableWork, The Long Firm]
  • A. The Long Firm chosen
    The Long Firm is a British television crime drama series, adapted from Jake Arnott’s novel, that follows the rise and fall of a charismatic East End gangster in 1960s London.
  • B. The Long Shadow
    The Long Shadow is a British true-crime drama television series that chronicles the police investigation into the Yorkshire Ripper murders in the 1970s and early 1980s.
  • C. The Chambers
    The Chambers is the English title of the work originally known as "The Rooms."
  • D. The Trust
    The Trust is a novel in the "Secret Society" series, continuing its blend of suspenseful conspiracy, hidden power structures, and high-stakes intrigue.
  • E. The Trust
    The Trust is a crime comedy film produced by Cassian Elwes, known for its offbeat heist plot and darkly humorous tone.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9cea7bc81909ee3e1cdeda1fe7e completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:05 p.m.