Triple

T11050245
Position Surface form Disambiguated ID Type / Status
Subject Encino Man E261225 entity
Predicate editedBy P1954 FINISHED
Object Michael A. Stevenson E642496 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: Michael A. Stevenson | Statement: [Encino Man, editedBy, Michael A. Stevenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael A. Stevenson
Context triple: [Encino Man, editedBy, Michael A. Stevenson]
  • A. Michael A. Stevenson chosen
    Michael A. Stevenson is a film editor known for his work on the romantic comedy-drama "The Goodbye Girl."
  • B. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • C. Jonathan E. Stewart
    Jonathan E. Stewart is a screenwriter and story artist best known for his work on animated feature films, including contributing to the story of Pixar’s "Cars 3."
  • D. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • E. Michael A. Elliott
    Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c5a9dc881909b695f7e87dfcdf6 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:26 p.m.