Triple

T7353936
Position Surface form Disambiguated ID Type / Status
Subject Don’t Go Near the Water E169574 entity
Predicate editor P1954 FINISHED
Object George Boemler E52466 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: George Boemler | Statement: [Don’t Go Near the Water, editor, George Boemler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Boemler
Context triple: [Don’t Go Near the Water, editor, George Boemler]
  • A. George Boemler chosen
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • B. George Weisgerber
    George Weisgerber is an American reality television personality best known for appearing as a contestant on the VH1 dating show "I Love New York 2."
  • C. Arthur Hohl
    Arthur Hohl was an American character actor known for his supporting roles in numerous Hollywood films during the 1930s and 1940s.
  • D. Karl Schaefer
    Karl Schaefer is a television writer and producer best known for co-creating the zombie apocalypse series Z Nation and its Netflix prequel Black Summer.
  • E. George Juergens
    George Juergens is a central character on the teen drama series "The Secret Life of the American Teenager," known as the quirky, overprotective father navigating family turmoil and teenage pregnancy.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10d3ef88190b3a0763d80b1e726 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c972177054819083dc93ad7f109b49 completed March 29, 2026, 6:40 p.m.
Created at: March 27, 2026, 3:05 p.m.