Triple

T5203280
Position Surface form Disambiguated ID Type / Status
Subject The Unnamable E117444 entity
Predicate relatedWork P37 FINISHED
Object Molloy E117442 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: Molloy | Statement: [The Unnamable, relatedWork, Molloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molloy
Context triple: [The Unnamable, relatedWork, Molloy]
  • A. Molloy chosen
    Molloy is a modernist novel by Samuel Beckett that follows two interlinked, often absurd and introspective narratives exploring identity, language, and existential uncertainty.
  • B. Republic of Doyle
    Republic of Doyle is a Canadian comedy-drama television series set in St. John’s, Newfoundland, following a father-and-son private investigator team as they solve cases and navigate family dynamics.
  • C. The World of Mr. Sweeney
    The World of Mr. Sweeney is an American television sitcom best known for featuring actor Tom Bosley in one of his early starring roles.
  • D. The Code of the Mulliners
    The Code of the Mulliners is a humorous short story by P. G. Wodehouse featuring one of Mr Mulliner’s comic family anecdotes set in his whimsical fictional universe.
  • E. The Quigley
    The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a46393c81908da08f4fbfb6147d completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe58344881908386713f2cf5749b completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:47 p.m.