Triple

T13274061
Position Surface form Disambiguated ID Type / Status
Subject A Man Alone E316140 entity
Predicate editedBy P1954 FINISHED
Object Terry O. Morse E726210 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: Terry O. Morse | Statement: [A Man Alone, editedBy, Terry O. Morse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry O. Morse
Context triple: [A Man Alone, editedBy, Terry O. Morse]
  • A. Terry O. Morse chosen
    Terry O. Morse was an American film editor and director active in mid-20th-century Hollywood, known for his work on a variety of studio features.
  • B. Donald R. Seawell
    Donald R. Seawell was an American attorney, theatrical producer, and arts patron best known for his influential role in developing Denver’s cultural landscape.
  • C. Morton M. Denn
    Morton M. Denn is a prominent chemical engineer and rheologist known for his influential research in non-Newtonian fluid mechanics and polymer processing.
  • D. Jay H. Shidler
    Jay H. Shidler is an American real estate investor, philanthropist, and University of Hawaiʻi alumnus known for his major donations to business education, including the endowment of the Shidler College of Business.
  • E. Gordon E. Sawyer
    Gordon E. Sawyer was an influential American sound engineer in the film industry, renowned for his technical achievements and long career at Samuel Goldwyn Studios.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904193bc8190af4155750bcf32f6 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab63e2fd4819096d4267b90f56fff completed May 18, 2026, 6:48 a.m.
Created at: April 9, 2026, 9:26 p.m.