Triple

T8329427
Position Surface form Disambiguated ID Type / Status
Subject Every Which Way but Loose E195037 entity
Predicate starring P1507 FINISHED
Object Beverly D’Angelo E239943 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: Beverly D’Angelo | Statement: [Every Which Way but Loose, starring, Beverly D’Angelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beverly D’Angelo
Context triple: [Every Which Way but Loose, starring, Beverly D’Angelo]
  • A. Beverly D’Angelo chosen
    Beverly D’Angelo is an American actress best known for her role as Ellen Griswold in the National Lampoon’s Vacation film series.
  • B. Victoria Scott D’Angelo
    Victoria Scott D’Angelo is an American former actress and socialite best known as the second wife of legendary test pilot Chuck Yeager.
  • C. Connie D'Amico
    Connie D'Amico is a recurring character on the animated TV show Family Guy, known as the popular yet mean-spirited girl at James Woods Regional High School.
  • D. Annie D'Angelo
    Annie D'Angelo is an American makeup artist best known as the longtime wife of country music legend Willie Nelson.
  • E. Dawn Olivieri
    Dawn Olivieri is an American actress known for her roles in television series such as "Heroes" and "House of Lies" as well as various film appearances.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fb812508190aed8a283dacf712e completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95c2c36481909793e9cd0c28168a completed April 1, 2026, 10:01 p.m.
Created at: March 30, 2026, 5:56 p.m.