Triple

T1507543
Position Surface form Disambiguated ID Type / Status
Subject Ann E33934 entity
Predicate hasDiminutive P456 FINISHED
Object Annie E76744 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: Annie | Statement: [Ann, hasDiminutive, Annie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annie
Context triple: [Ann, hasDiminutive, Annie]
  • A. Annie chosen
    Annie is a popular Broadway musical, later adapted into a film, about an optimistic orphan girl in 1930s New York.
  • B. Annie Douglass
    Annie Douglass was a daughter of abolitionist Anna Murray Douglass and famed orator Frederick Douglass, born into a prominent African American family deeply involved in the fight against slavery and for civil rights.
  • C. Chiquitita
    "Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
  • D. Mary Jane Gumm
    Mary Jane Gumm was an American vaudeville and film performer, best known as one of Judy Garland’s older sisters and early singing partners in the Gumm Sisters act.
  • E. Emmie
    Emmie is a diminutive given name, typically used as a affectionate or informal variant of names like Emma.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8891c80a88190a813aab099abe2b0 completed March 4, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad294805308190ada3ed69ec71ce43 completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:24 p.m.