Triple

T7769126
Position Surface form Disambiguated ID Type / Status
Subject Ralph Carter E179024 entity
Predicate notableWork P4 FINISHED
Object Maude E31756 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: Maude | Statement: [Ralph Carter, notableWork, Maude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maude
Context triple: [Ralph Carter, notableWork, Maude]
  • A. Maude
    Maude is a surname most notably associated with British Lieutenant General Sir Frederick Stanley Maude, a key military commander during World War I.
  • B. 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.
  • C. Maude
    Maude is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • 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.

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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c704376dc08190890f5ebb9f259cfd completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6d0f1988190b4df650bebb61fd3 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:11 p.m.