Triple

T13657034
Position Surface form Disambiguated ID Type / Status
Subject The Light Between Oceans E326887 entity
Predicate editor P1954 FINISHED
Object Jim Helton E337490 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: Jim Helton | Statement: [The Light Between Oceans, editor, Jim Helton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Helton
Context triple: [The Light Between Oceans, editor, Jim Helton]
  • A. Jim Helton chosen
    Jim Helton is a film editor best known for his work on acclaimed independent films such as "Blue Valentine."
  • B. Michael Hunsaker
    Michael Hunsaker is a fictional former Vietnam War comrade of Roger Murtaugh whose involvement in a dangerous heroin-smuggling operation drives much of the plot in the action film "Lethal Weapon."
  • C. Curtis Hixon
    Curtis Hixon was a prominent Tampa, Florida mayor and civic leader whose contributions to the city led to major public landmarks being named in his honor.
  • D. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • E. Chris Chesser
    Chris Chesser is an American film and television producer best known for producing the hit baseball comedy film "Major League."
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61d56e4819084ae3c16ecdf4a05 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c8e7988190bcd338bdeba0ae60 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:52 p.m.