Triple

T11994813
Position Surface form Disambiguated ID Type / Status
Subject The Errand Boy E285501 entity
Predicate castMember P1668 FINISHED
Object Del Moore E964843 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: Del Moore | Statement: [The Errand Boy, castMember, Del Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Del Moore
Context triple: [The Errand Boy, castMember, Del Moore]
  • A. Del Moore chosen
    Del Moore was an American character actor and comedian best known for his supporting roles in mid-20th-century film and television comedies.
  • B. Dinty Moore
    Dinty Moore is a long-running American canned beef stew brand known for its hearty, ready-to-eat meals.
  • C. Dennis Moore
    Dennis Moore was an American actor active in the 1930s and 1940s, best known for his roles in Westerns and horror films.
  • D. Ed Brophy
    Ed Brophy is an American boxing historian and executive best known for creating and leading the International Boxing Hall of Fame in Canastota, New York.
  • E. J. C. Moore
    J. C. Moore was an American mathematician known for his contributions to algebraic topology and homological algebra, including work on Moore spaces and collaborations with Samuel Eilenberg.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5ccac481908c61fc1109cc6ef6 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:46 p.m.