Triple

T10917000
Position Surface form Disambiguated ID Type / Status
Subject Michelle Yeoh E257849 entity
Predicate notableWork P4 FINISHED
Object The Lady E274419 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 Lady | Statement: [Michelle Yeoh, notableWork, The Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lady
Context triple: [Michelle Yeoh, notableWork, The Lady]
  • A. The Lady chosen
    The Lady is the mysterious, sharpshooting female gunslinger who enters a deadly quick-draw tournament to confront her past in the Western film "The Quick and the Dead."
  • B. The Lady
    The Lady is a long-running British weekly magazine aimed primarily at women, known for its focus on domestic life, culture, and high-society classifieds.
  • C. La Dama
    La Dama is a small village on the island of La Gomera in Spain’s Canary Islands, known for its rural character and coastal banana plantations.
  • D. That Lady
    "That Lady" is a 1973 funk and soul hit by The Isley Brothers, known for its distinctive guitar work and smooth, psychedelic groove.
  • E. Brilliant Lady
    Brilliant Lady is a modern cruise ship operated by Virgin Voyages, designed to offer an adults-only, boutique-style sailing experience.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7707deb608190903b1066e19600d3 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216fca9f48190b02e8c13b8f428bf completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.