Triple

T5203156
Position Surface form Disambiguated ID Type / Status
Subject Molloy E117442 entity
Predicate mainCharacter P1183 FINISHED
Object Molloy (character) 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 (character) | Statement: [Molloy, mainCharacter, Molloy (character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molloy (character)
Context triple: [Molloy, mainCharacter, Molloy (character)]
  • 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. Charlie Mole
    Charlie Mole is a British composer best known for his work on film and television scores.
  • C. Mr. Nice
    Mr. Nice is a 2010 biographical crime film in which Rhys Ifans portrays real-life Welsh drug smuggler Howard Marks.
  • D. Bartholomew Green
    Bartholomew Green was a prominent early 18th-century Boston printer and publisher known for producing influential colonial American works.
  • E. Raymond
    Raymond is the furry blue sea-dog mascot of Major League Baseball’s Tampa Bay Rays, known for his playful antics at the team’s home games.
  • 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_69bee0a8ae0881909ce3173b73c2b749 completed March 21, 2026, 6:17 p.m.
Created at: March 20, 2026, 1:47 p.m.