Triple

T10090695
Position Surface form Disambiguated ID Type / Status
Subject Lucien Ballard E215335 entity
Predicate name P16 FINISHED
Object Lucien Ballard E215335 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: Lucien Ballard | Statement: [Lucien Ballard, name, Lucien Ballard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucien Ballard
Context triple: [Lucien Ballard, name, Lucien Ballard]
  • A. Lucien Ballard chosen
    Lucien Ballard was an American cinematographer renowned for his innovative lighting techniques and influential work on numerous Hollywood films from the 1930s through the 1970s.
  • B. Lucien Hubbard
    Lucien Hubbard was an American film producer and screenwriter best known for winning the first Academy Award for Best Picture for producing the 1927 war film "Wings."
  • C. Roderick La Rocque
    Roderick La Rocque was an American film actor best known as a suave leading man in silent and early sound films of the 1920s and 1930s.
  • D. Victor Parsonnet
    Victor Parsonnet is an American cardiac surgeon and medical innovator known for pioneering work in pacemakers and heart transplantation.
  • E. Lucien Saint
    Lucien Saint was a French colonial administrator and politician best known for his role in consolidating French control and implementing administrative reforms in Morocco during the early 20th century.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05960008190baecb8e4c9f2461f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6a587e0819093f38d5e69db43ec completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:01 p.m.