Triple

T2246108
Position Surface form Disambiguated ID Type / Status
Subject Stuart Dryburgh E49507 entity
Predicate notableWork P4 FINISHED
Object Patrick Melrose E42643 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: Patrick Melrose | Statement: [Stuart Dryburgh, notableWork, Patrick Melrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Melrose
Context triple: [Stuart Dryburgh, notableWork, Patrick Melrose]
  • A. Patrick Melrose chosen
    Patrick Melrose is a British-American television drama miniseries based on Edward St Aubyn’s semi-autobiographical novels, following an aristocratic man's struggle with trauma, addiction, and recovery.
  • B. The Duke of Flatbush
    The Duke of Flatbush was the celebrated Brooklyn Dodgers Hall of Fame center fielder Duke Snider, renowned for his powerful hitting and key role in the team’s 1950s success.
  • C. Franny
    Franny is a common diminutive or nickname for the given name Frances.
  • D. The Malloys
    The Malloys are a directing duo known for their influential and stylish music videos and commercials.
  • E. Molloy
    Molloy is a modernist novel by Samuel Beckett that follows two interlinked, often absurd and introspective narratives exploring identity, language, and existential uncertainty.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ea75d881909d4e176a432f32e8 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b147b388190a20a604cc176191f completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.