Triple

T9279890
Position Surface form Disambiguated ID Type / Status
Subject Phyllis Smith E223040 entity
Predicate givenName P17 FINISHED
Object Phyllis E318455 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 | Statement: [Phyllis Smith, givenName, Phyllis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phyllis
Context triple: [Phyllis Smith, givenName, Phyllis]
  • A. Phyllis
    Phyllis is a 1970s American television sitcom, spun off from The Mary Tyler Moore Show, that stars Cloris Leachman as the widowed Phyllis Lindstrom starting a new life in San Francisco.
  • B. Phyllis chosen
    Phyllis is a tragic figure from classical legend, often depicted as a wronged lover who is transformed into an almond tree after being abandoned.
  • C. Ethel
    Ethel is a feminine given name of Old English origin, historically popular in English-speaking countries.
  • D. Phylicia
    Phylicia is a feminine given name best known through American actress and director Phylicia Rashad.
  • E. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cc79508190954defbef0d82a64 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1fef1508190a9bf1a55dd39c0ac completed April 4, 2026, 6:38 a.m.
Created at: March 30, 2026, 7:34 p.m.