Triple

T14830580
Position Surface form Disambiguated ID Type / Status
Subject Curtis Armstrong E348689 entity
Predicate name P16 FINISHED
Object Curtis Armstrong E348689 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: Curtis Armstrong | Statement: [Curtis Armstrong, name, Curtis Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curtis Armstrong
Context triple: [Curtis Armstrong, name, 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 (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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0748eec8190a39c94024c3a3e3e completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fc8cdc8190a142a2a3ef889e72 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:51 a.m.