Triple

T13259054
Position Surface form Disambiguated ID Type / Status
Subject Will Tippin E315739 entity
Predicate hasFriend P8712 FINISHED
Object Francie Calfo E330387 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: Francie Calfo | Statement: [Will Tippin, hasFriend, Francie Calfo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francie Calfo
Context triple: [Will Tippin, hasFriend, Francie Calfo]
  • A. Francie Calfo chosen
    Francie Calfo is a fictional character from the television series "Alias," known for her close friendship with protagonist Sydney Bristow.
  • B. Kate Andrich
    Kate Andrich is the main protagonist of the romantic comedy film "Last Christmas," a struggling young woman in London whose life changes after she meets a mysterious man during the holiday season.
  • C. Adrienne Martini
    Adrienne Martini is an American writer and columnist known for her work in personal essays, commentary, and nonfiction.
  • D. Lani O'Grady
    Lani O'Grady was an American actress best known for her role as Mary Bradford on the television series "Eight Is Enough."
  • E. Diane Divelbess
    Diane Divelbess is a character in the television film "Serving in Silence: The Margarethe Cammermeyer Story," which dramatizes the real-life experiences of a U.S. Army officer challenging the military’s ban on openly gay service members.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f78acfd0e88190954533a7f282d83a completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:25 p.m.