Triple

T15918802
Position Surface form Disambiguated ID Type / Status
Subject Nebraska (film) E386039 entity
Predicate mainCharacter P1183 FINISHED
Object Ross Grant E683635 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: Ross Grant | Statement: [Nebraska (film), mainCharacter, Ross Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ross Grant
Context triple: [Nebraska (film), mainCharacter, Ross Grant]
  • A. Ross Grant chosen
    Ross Grant is the central protagonist of the film "Nebraska," around whom the story's emotional and narrative journey revolves.
  • B. Christopher Tietjens
    Christopher Tietjens is the brilliant, emotionally reserved English civil servant and statistician at the center of Ford Madox Ford’s World War I tetralogy, whose rigid moral code clashes with a changing modern world.
  • C. Ewart Brown
    Ewart Brown is a Bermudian physician and politician who served as Premier of Bermuda from 2006 to 2010 as leader of the Progressive Labour Party.
  • D. Elwin Neame
    Elwin Neame was a British filmmaker and cinematographer active in the mid-20th century, known for his work in the British film industry and as part of the Neame family of film professionals.
  • E. Felix Grant
    Felix Grant is one of the children of British actor Hugh Grant.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1567ff9e48190b73cb101fc3f7b2b completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a79b808190850fa9d327f7ef72 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.