Triple

T20462405
Position Surface form Disambiguated ID Type / Status
Subject The Bellamy Trial E501957 entity
Predicate producer P490 FINISHED
Object Monta Bell 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: Monta Bell | Statement: [The Bellamy Trial, producer, Monta Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monta Bell
Context triple: [The Bellamy Trial, producer, Monta Bell]
  • A. Monta Bell chosen
    Monta Bell was an American film director, producer, and screenwriter active during the silent and early sound eras of Hollywood cinema.
  • B. Monte Moore
    Monte Moore is an American sportscaster best known as the longtime play-by-play announcer for the Oakland Athletics baseball team.
  • C. Monte Landis
    Monte Landis is a British character actor best known for his comedic roles in 1960s and 1970s film and television, including multiple appearances on "The Monkees" TV series.
  • D. Monte M. Katterjohn
    Monte M. Katterjohn was an American screenwriter active during the silent film era, known for writing numerous popular melodramas and adventure films.
  • E. Mount Harrison Smith
    Mount Harrison Smith is a prominent peak in Canada’s remote Cirque of the Unclimbables, renowned among climbers for its dramatic granite walls and challenging alpine routes.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a761648190b24cf4bb90a8abb1 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.