Triple

T14397754
Position Surface form Disambiguated ID Type / Status
Subject The Big Green E356993 entity
Predicate editedBy P1954 FINISHED
Object John F. Link 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: John F. Link | Statement: [The Big Green, editedBy, John F. Link]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John F. Link
Context triple: [The Big Green, editedBy, John F. Link]
  • A. John F. Link chosen
    John F. Link is a film editor known for his work on various Hollywood movies, including action and comedy films.
  • B. Peter K. Kilpatrick
    Peter K. Kilpatrick is an American chemical engineer and academic leader who serves as the president of The Catholic University of America.
  • C. Edward A. Ross
    Edward A. Ross was an American sociologist and progressive-era reformer known for pioneering work in social control theory and for helping establish sociology as an academic discipline in the United States.
  • D. Robert B. Weide
    Robert B. Weide is an American film and television director, producer, and screenwriter best known for his work on the HBO series "Curb Your Enthusiasm" and various documentaries about comedians.
  • E. Edmund L. Gruber
    Edmund L. Gruber was a U.S. Army officer and composer best known for writing the original field artillery song that later became the official song of the United States Army.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
Created at: April 10, 2026, 1:17 a.m.