Triple

T22108428
Position Surface form Disambiguated ID Type / Status
Subject Morgan Conway E546351 entity
Predicate name P16 FINISHED
Object Morgan Conway 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: Morgan Conway | Statement: [Morgan Conway, name, Morgan Conway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan Conway
Context triple: [Morgan Conway, name, Morgan Conway]
  • A. Morgan Conway chosen
    Morgan Conway was an American actor best known for playing the comic-strip detective Dick Tracy in 1940s film adaptations.
  • B. Morgan Pell
    Morgan Pell is a fictional character from the 1941 Western film "The Bad Man," involved in the story’s central conflict over land, power, and personal loyalties.
  • C. Morgan York
    Morgan York is an American former child actress best known for her roles in family films and the Disney Channel series "Hannah Montana."
  • D. Morgan Cavanaugh
    Morgan Cavanaugh is a recurring character on the television series "Sabrina the Teenage Witch," known as one of Sabrina’s college friends and roommates.
  • E. Morgan Mason
    Morgan Mason is a British-born film producer and former political operative known for his work in the entertainment industry and his involvement in U.S. Republican politics.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291adc74819092c7753bb6f3768d completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.