Triple

T10695032
Position Surface form Disambiguated ID Type / Status
Subject Philip MacDonald E252112 entity
Predicate notableWork P4 FINISHED
Object The Noose E600673 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 Noose | Statement: [Philip MacDonald, notableWork, The Noose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Noose
Context triple: [Philip MacDonald, notableWork, The Noose]
  • A. The Noose chosen
    "The Noose" is a 1928 American silent crime drama film starring Richard Barthelmess, noted for its intense melodrama and early sound-era experimentation.
  • B. The Gallows
    The Gallows is a 2015 found-footage supernatural horror film centered on a cursed high school play that unleashes a vengeful spirit.
  • C. The Hanging Tree
    "The Hanging Tree" is an urban fantasy novel in Ben Aaronovitch’s Rivers of London series, blending police procedural elements with magic in contemporary London.
  • D. The Strangler
    The Strangler is a 1964 crime thriller film starring Victor Buono as a disturbed serial killer preying on young women.
  • E. The Hangman
    The Hangman is a philosophical novel by Swedish author Pär Lagerkvist that explores themes of evil, guilt, and human conscience through the figure of an executioner.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998da1738819099a9090c3e8badc9 completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:11 p.m.