Triple

T15310773
Position Surface form Disambiguated ID Type / Status
Subject Another Year E366029 entity
Predicate editedBy P1954 FINISHED
Object Jon Gregory E255463 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: Jon Gregory | Statement: [Another Year, editedBy, Jon Gregory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Gregory
Context triple: [Another Year, editedBy, Jon Gregory]
  • A. Jon Gregory chosen
    Jon Gregory was a British film editor known for his work on acclaimed films such as "Four Weddings and a Funeral," "Secrets & Lies," and several collaborations with director Mike Leigh.
  • B. Gregory Jarvis
    Gregory Jarvis was an American engineer and astronaut who served as a payload specialist on the ill-fated Space Shuttle Challenger mission STS-51-L.
  • C. David Gregory
    David Gregory is an American television journalist best known for serving as the moderator of NBC’s long-running news program "Meet the Press."
  • D. Gregory Bald
    Gregory Bald is a scenic grassy summit in the Great Smoky Mountains renowned for its panoramic views and spectacular flame azalea displays.
  • E. Gregory Mann
    Gregory Mann is a British actor and voice actor best known for voicing the title character in Guillermo del Toro's animated film "Pinocchio."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cea6bb88190a6d6f7c55daa4677 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:16 a.m.