Triple

T10325582
Position Surface form Disambiguated ID Type / Status
Subject Green Place E242752 entity
Predicate governedBy P46 FINISHED
Object Many Mothers E855455 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: Many Mothers | Statement: [Green Place, governedBy, Many Mothers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Many Mothers
Context triple: [Green Place, governedBy, Many Mothers]
  • A. Mothers
    Mothers is a section of the Tokyo Stock Exchange dedicated to emerging and high-growth startup companies seeking public investment.
  • B. The Many Mothers chosen
    The Many Mothers is a matriarchal group of women in the Mad Max universe who inhabit and lead the Green Place, a once-fertile oasis.
  • C. Four Mothers
    Four Mothers is a 1941 American drama film that continues the story of the Lemp family introduced in Four Daughters and its first sequel, Four Wives.
  • D. Same Mother
    Same Mother is a jazz album by American pianist and composer Jason Moran that blends avant-garde improvisation with blues and traditional influences.
  • E. A Mother
    "A Mother" is a short story by James Joyce, included in his collection Dubliners, that portrays an ambitious Irish woman's social aspirations and frustrations within early 20th-century Dublin society.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cd76348190b93562112300acfc completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7503f3df88190bc5acb5e5295f787 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:51 a.m.