Triple

T23120925
Position Surface form Disambiguated ID Type / Status
Subject Better Off Dead E576889 entity
Predicate starring P1507 FINISHED
Object Curtis Armstrong 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: Curtis Armstrong | Statement: [Better Off Dead, starring, Curtis Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curtis Armstrong
Context triple: [Better Off Dead, starring, Curtis Armstrong]
  • A. Curtis Armstrong chosen
    Curtis Armstrong is an American character actor best known for his comedic roles in films like "Risky Business" and "Revenge of the Nerds," as well as numerous television appearances.
  • B. James McDaniel
    James McDaniel is an American actor best known for his role as Lt. Arthur Fancy on the television drama series "NYPD Blue."
  • C. Paul Dooley
    Paul Dooley is an American character actor, writer, and comedian known for his roles in films such as "Breaking Away," "Sixteen Candles," and numerous television series.
  • D. Curtis Craig
    Curtis Craig was the male college student who served as the named plaintiff challenging Oklahoma's gender-based drinking age law in the landmark U.S. Supreme Court case Craig v. Boren.
  • E. Dennis Morgan
    Dennis Morgan was an American film actor and singer best known for his leading-man roles in Hollywood musicals and dramas of the 1940s.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e4f9be881908307838bfb5edc0c completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.