Triple

T6966497
Position Surface form Disambiguated ID Type / Status
Subject Franklin Cover E161501 entity
Predicate spouseOnShow P73828 FINISHED
Object Helen Willis E286870 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: Helen Willis | Statement: [Franklin Cover, spouseOnShow, Helen Willis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Willis
Context triple: [Franklin Cover, spouseOnShow, Helen Willis]
  • A. Helen Willis chosen
    Helen Willis is a central character on the sitcom "The Jeffersons," known as Louise Jefferson’s close friend and one half of the show’s groundbreaking interracial couple.
  • B. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • C. Helen Hughes
    Helen Hughes was a daughter of Charles Evans Hughes, the prominent American statesman who served as both U.S. Secretary of State and Chief Justice of the Supreme Court.
  • D. Helen Marshall
    Helen Marshall is a British academic leader and higher education administrator who has served as Vice-Chancellor of the University of Salford.
  • E. Helen Mack
    Helen Mack was an American film and radio actress of the 1930s and 1940s, known for her versatile performances in both comedy and drama.
  • 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: spouseOnShow
Context triple: [Franklin Cover, spouseOnShow, Helen Willis]
  • A. spouseAssociatedWith
    Indicates a marital or spousal relationship or close association between two entities.
  • B. spouse
    Indicates that two entities are married to each other in a legally or socially recognized partnership.
  • C. spouseFamily
    Indicates a family relationship formed through marriage, such as between a person and their spouse’s relatives.
  • D. spouseAtEvent
    Indicates that two individuals are spouses who are present together at a specific event.
  • E. spouseMemberOf
    Indicates that a person’s spouse is a member of a specified group, organization, or entity.
  • F. None of above. chosen

Provenance (5 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_69c902a459f481908dbba16de611b85a completed March 29, 2026, 10:44 a.m.
PD Predicate disambiguation batch_69c6d7c0b0a08190b262dfc94992994d completed March 27, 2026, 7:17 p.m.
PDg Predicate description generation batch_69c6d9bb57e88190a3a7cec34e3b617f completed March 27, 2026, 7:25 p.m.
Created at: March 27, 2026, 2:30 p.m.