Triple

T2172863
Position Surface form Disambiguated ID Type / Status
Subject Easy Rider E48462 entity
Predicate editedBy P1954 FINISHED
Object Donn Cambern E260651 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: Donn Cambern | Statement: [Easy Rider, editedBy, Donn Cambern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donn Cambern
Context triple: [Easy Rider, editedBy, Donn Cambern]
  • A. Donn Cambern chosen
    Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
  • B. Don Graham
    Don Graham is a real estate developer best known for his role in creating Honolulu’s Ala Moana Center, one of the largest open-air shopping malls in the world.
  • C. Christopher Weaver
    Christopher Weaver is an American entrepreneur and video game industry pioneer best known as the founder of ZeniMax Media, the parent company of Bethesda Softworks.
  • D. Ted Cheesman
    Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
  • E. James T. Conway
    James T. Conway is a retired four-star U.S. Marine Corps general who later served as the 34th Commandant of the Marine Corps.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbec98a648190907ef4c6cad916d3 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69af989e2cf48190b9c5d053491e3a96 completed March 10, 2026, 4:05 a.m.
Created at: March 4, 2026, 7:45 p.m.