Triple

T21643391
Position Surface form Disambiguated ID Type / Status
Subject Young Men in Spats E534151 entity
Predicate hasStory P11859 FINISHED
Object Trouble Down at Tudsleigh 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: Trouble Down at Tudsleigh | Statement: [Young Men in Spats, hasStory, Trouble Down at Tudsleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trouble Down at Tudsleigh
Context triple: [Young Men in Spats, hasStory, Trouble Down at Tudsleigh]
  • A. Trouble Down at Tudsleigh chosen
    "Trouble Down at Tudsleigh" is a humorous short story by P. G. Wodehouse featuring his recurring character Bertie Wooster in a comic country-house misadventure.
  • B. The Trouble
    "The Trouble" is a song by American singer-songwriter Sabrina Carpenter from her album "On Purpose."
  • C. The Trouble Boy
    The Trouble Boy is a novel by American author Tom Dolby that explores themes of identity, ambition, and relationships in contemporary urban life.
  • D. Inn for Trouble
    Inn for Trouble is a 1960 British comedy film featuring Esma Cannon in a supporting role, centered on the misadventures of a couple who inherit and attempt to run a rundown country pub.
  • E. The Turl
    The Turl is a historic, narrow street in central Oxford, England, known for its traditional architecture and proximity to several University of Oxford colleges.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef53930644819086b0f499e1b8ae63 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.