Triple

T18012222
Position Surface form Disambiguated ID Type / Status
Subject Lorrie Morgan E430910 entity
Predicate givenName P17 FINISHED
Object Loretta NE NERFINISHED

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: Loretta | Statement: [Lorrie Morgan, givenName, Loretta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loretta
Context triple: [Lorrie Morgan, givenName, Loretta]
  • A. Loretta chosen
    Loretta is a feminine given name of Latin origin, often associated with the laurel tree and borne by various notable figures.
  • B. Loretta Webb
    Loretta Webb is the birth name of Loretta Lynn, the iconic American country music singer-songwriter known as the “Coal Miner’s Daughter.”
  • C. Loretta Bell
    Loretta Bell is a character in Cormac McCarthy's novel "No Country for Old Men," known as the supportive and morally grounded wife of Sheriff Ed Tom Bell.
  • D. Loretta Rogers
    Loretta Rogers is a Canadian philanthropist and longtime director of Rogers Communications, known as the widow of company founder Ted Rogers.
  • E. Loretta Williams
    Loretta Williams is the twin sister of American actor Billy Dee Williams, known for his roles in films such as "Lady Sings the Blues" and the "Star Wars" franchise.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b520ea088190b74903f1e1ba49e2 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.