Triple

T6966785
Position Surface form Disambiguated ID Type / Status
Subject Vivian Harmon E161508 entity
Predicate createdForSeries P40774 FINISHED
Object Maude E31756 NE FINISHED

How this triple was built (3 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: Maude | Statement: [Vivian Harmon, createdForSeries, Maude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maude
Context triple: [Vivian Harmon, createdForSeries, Maude]
  • A. Maude chosen
    Maude is a 1970s American sitcom created by Norman Lear that follows the outspoken, liberal Maude Findlay and is known for tackling controversial social and political issues with sharp humor.
  • B. Maude
    Maude is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • C. Maude
    Maude is a surname most notably associated with British Lieutenant General Sir Frederick Stanley Maude, a key military commander during World War I.
  • D. Maude Findlay
    Maude Findlay is the outspoken, liberal, middle-aged feminist protagonist of the 1970s American sitcom "Maude," portrayed by Bea Arthur.
  • E. The Golden Girls
    The Golden Girls is a beloved American sitcom about four older women sharing a home in Miami, celebrated for its sharp humor, progressive themes, and enduring cultural impact.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: createdForSeries
Context triple: [Vivian Harmon, createdForSeries, Maude]
  • A. createdFor
    Indicates that one entity was made, produced, or designed specifically to serve, benefit, or be used by another entity.
  • B. intendedForSeries chosen
    Indicates that something is designed, created, or designated to be used within or as part of a particular series.
  • C. createdIn
    Indicates that one entity was brought into existence, produced, or originated within the context, location, or time frame specified by another entity.
  • D. createdAs
    Indicates that one entity was originally made, designed, or brought into existence in the form, role, or identity specified by another entity.
  • E. createdTo
    Indicates that one entity was brought into existence, produced, or designed specifically for the purpose, use, or function of another entity.
  • F. None of above.

Provenance (4 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db121174819098e73e45f6c9cc91 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78833914881909aa2ef993b89c7ab completed March 28, 2026, 7:50 a.m.
PD Predicate disambiguation batch_69c6d7c0b0a08190b262dfc94992994d completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:30 p.m.