Triple

T15356543
Position Surface form Disambiguated ID Type / Status
Subject Lucy E367179 entity
Predicate formerAllegiance P1201 FINISHED
Object Lord Business (implied past association) E74787 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: Lord Business (implied past association) | Statement: [Lucy, formerAllegiance, Lord Business (implied past association)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord Business (implied past association)
Context triple: [Lucy, formerAllegiance, Lord Business (implied past association)]
  • A. Lord Business chosen
    Lord Business is the main villain of *The Lego Movie*, a tyrannical ruler obsessed with control and perfection in the LEGO universe.
  • B. The Business
    The Business is a British television series featuring actress Caroline Harker in a prominent role.
  • C. The Business
    The Business is a satirical science fiction novel by Iain M. Banks that follows a powerful, secretive multinational corporation with quasi-governmental influence as seen through the eyes of one of its high-ranking executives.
  • D. The Business
    The Business is a film featuring actor Geoff Bell in a prominent role.
  • E. Lord's
    Lord's is a historic cricket ground in London widely regarded as the "Home of Cricket" and a premier venue for major international matches.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff020244e881909c1d1c295dc82e49 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:18 a.m.