Triple

T10917014
Position Surface form Disambiguated ID Type / Status
Subject Michelle Yeoh E257849 entity
Predicate notableWork P4 FINISHED
Object The School for Good and Evil E545893 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 School for Good and Evil | Statement: [Michelle Yeoh, notableWork, The School for Good and Evil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The School for Good and Evil
Context triple: [Michelle Yeoh, notableWork, The School for Good and Evil]
  • A. The School for Good and Evil chosen
    The School for Good and Evil is a fantasy film adaptation of Soman Chainani’s novel, following two best friends sent to a magical school that trains heroes and villains.
  • B. The Story Girl
    The Story Girl is a 1911 novel by L. M. Montgomery that follows a group of children on Prince Edward Island, centered on a gifted young storyteller whose tales shape their imaginative world.
  • C. The Goose Girl
    The Goose Girl is a German fairy tale about a princess betrayed by her maid who must tend geese in disguise until her true identity is revealed and justice is restored.
  • D. Greenwillow
    Greenwillow is a 1960 Broadway musical with music and lyrics by Frank Loesser, known for its folk-inspired score and whimsical, pastoral setting.
  • E. I Capture the Castle
    I Capture the Castle is a 2003 British romantic drama film adaptation of Dodie Smith’s novel, following a young woman’s coming-of-age in a crumbling English castle in the 1930s.
  • 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.