Triple

T10635339
Position Surface form Disambiguated ID Type / Status
Subject Vuvalini E250564 entity
Predicate memberOf P10 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: [Vuvalini, memberOf, Many Mothers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Many Mothers
Context triple: [Vuvalini, memberOf, 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfac70f481908363f9ac0b651fbe completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bc57a8081908abd73f4273d0666 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:03 p.m.