Triple

T3956641
Position Surface form Disambiguated ID Type / Status
Subject Sophia Petrillo E85795 entity
Predicate relative P37 FINISHED
Object Gloria Harker E402976 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: Gloria Harker | Statement: [Sophia Petrillo, relative, Gloria Harker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria Harker
Context triple: [Sophia Petrillo, relative, Gloria Harker]
  • A. Gloria Harker chosen
    Gloria Harker is the daughter of Sophia Petrillo, a character from the classic American sitcom "The Golden Girls."
  • B. Susannah Harker
    Susannah Harker is a British actress best known for her television work in period dramas and series such as "House of Cards" and "Pride and Prejudice."
  • C. Gwendolyn Rickard
    Gwendolyn Rickard was the longtime wife of American actor and dancer Ray Bolger, best known for his role as the Scarecrow in "The Wizard of Oz."
  • D. Estelle Craven
    Estelle Craven is a character in the 1963 horror-comedy film "The Raven," appearing in its tale of rival sorcerers and supernatural intrigue.
  • E. Wanda Muir
    Wanda Muir was the daughter of naturalist and conservationist John Muir, known primarily for her connection to his legacy.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95bbb9c8190bd64c5b7ea2f341a completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55619cb548190ac2553f23de9bfed completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:31 p.m.