Triple

T12631883
Position Surface form Disambiguated ID Type / Status
Subject Charley Varrick E301662 entity
Predicate cinematographyBy P1953 FINISHED
Object Michael C. Butler E269428 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 C. Butler | Statement: [Charley Varrick, cinematographyBy, Michael C. Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael C. Butler
Context triple: [Charley Varrick, cinematographyBy, Michael C. Butler]
  • A. Michael C. Butler chosen
    Michael C. Butler is a cinematographer best known for his work on the blockbuster sequel film "Jaws 2."
  • B. Steven L. Butler
    Steven L. Butler is a film editor best known for his work on the science-fiction parody movie "Spaceballs."
  • C. Michael A. Elliott
    Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
  • D. John K. Butler
    John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
  • E. Andrew P. Butler
    Andrew P. Butler was a pro-slavery U.S. senator from South Carolina whose strong support for the Kansas-Nebraska Act and slavery made him a central and controversial figure in the events leading up to the Bleeding Kansas crisis.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610e4f408190946f37325d69375c completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd646ee860819083277b15aaf510fd completed May 8, 2026, 4:19 a.m.
Created at: April 9, 2026, 5:15 p.m.