Triple

T5160900
Position Surface form Disambiguated ID Type / Status
Subject Diller E116432 entity
Predicate hasNotableBearer P458 FINISHED
Object Phyllis Diller E247556 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: Phyllis Diller | Statement: [Diller, hasNotableBearer, Phyllis Diller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phyllis Diller
Context triple: [Diller, hasNotableBearer, Phyllis Diller]
  • A. Phyllis Diller chosen
    Phyllis Diller was a pioneering American stand-up comedian and actress known for her eccentric stage persona, self-deprecating humor, and distinctive cackling laugh.
  • B. Martha Raye
    Martha Raye was an American comic actress and singer known for her brash, big-mouthed persona in film and television and for her extensive USO performances entertaining troops during multiple wars.
  • C. Dinah Shore
    Dinah Shore was a popular American singer, actress, and television personality best known for her hit recordings and pioneering work in early television variety shows.
  • D. Blossom Dearie
    Blossom Dearie was an American jazz singer and pianist known for her light, girlish voice, impeccable phrasing, and intimate, witty interpretations of standards.
  • E. Kitty Moran
    Kitty Moran is a fictional character appearing in the 1990 crime-comedy film "My Blue Heaven."
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79073a54819080cd1e8de6fe906a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed92b3ab48190900cf5c246dba433 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.