Triple

T13286056
Position Surface form Disambiguated ID Type / Status
Subject Cheaper by the Dozen E316446 entity
Predicate cinematographyBy P1953 FINISHED
Object Jonathan Brown E241640 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: Jonathan Brown | Statement: [Cheaper by the Dozen, cinematographyBy, Jonathan Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Brown
Context triple: [Cheaper by the Dozen, cinematographyBy, Jonathan Brown]
  • A. Jonathan Brown
    Jonathan Brown is an individual known primarily as the son of Mr. Brown.
  • B. Jonathan Brown chosen
    Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
  • C. Russ Brown
    Russ Brown was an American actor best known for his Tony Award–winning performance as the original coach Van Buren in the Broadway musical "Damn Yankees."
  • D. Andrew Brown
    Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
  • E. Anthony Gregory Brown
    Anthony Gregory Brown is an American politician and attorney who has served as Maryland's Attorney General and previously as the state's lieutenant governor and a U.S. Representative.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990759ebc8190a9487a59e37a69e2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f20d7188190bb8643a7e17aba5c completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:27 p.m.