Triple

T3757590
Position Surface form Disambiguated ID Type / Status
Subject The King of Marvin Gardens E82084 entity
Predicate editor P1954 FINISHED
Object John F. Link E296716 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: John F. Link | Statement: [The King of Marvin Gardens, editor, John F. Link]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John F. Link
Context triple: [The King of Marvin Gardens, editor, 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. Alan M. Garber
    Alan M. Garber is an American physician-economist and academic leader known for his work in health policy and for serving in top administrative roles at Harvard University.
  • C. Neil A. Machlis
    Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
  • D. Daniel P. Hanley
    Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
  • E. George A. Bermann
    George A. Bermann is a prominent American legal scholar and expert in international and comparative law, particularly known for his work in international arbitration.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc04d348190b0e4a90d18bdd160 completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf185542508190ad71b753bda5d1a3 completed March 21, 2026, 10:14 p.m.
Created at: March 8, 2026, 3:35 p.m.