Triple

T20387245
Position Surface form Disambiguated ID Type / Status
Subject Columbus (2017 film) E497990 entity
Predicate cinematographyBy P1953 FINISHED
Object Elisha Christian NE NERFINISHED

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: Elisha Christian | Statement: [Columbus (2017 film), cinematographyBy, Elisha Christian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisha Christian
Context triple: [Columbus (2017 film), cinematographyBy, Elisha Christian]
  • A. Elisha Christian chosen
    Elisha Christian is a cinematographer known for his work on feature films such as the romantic sci-fi drama "In Your Eyes."
  • B. Elisha Williams
    Elisha Williams was an 18th-century American clergyman, lawyer, and educator who served as a prominent early leader of Yale College.
  • C. Elisha Whittlesey
    Elisha Whittlesey was a 19th-century American lawyer and politician from Ohio who served in the U.S. House of Representatives and later held key federal financial oversight roles.
  • D. Elisha Mathewson
    Elisha Mathewson was an American politician who served as a United States Senator from Rhode Island in the early 19th century.
  • E. Samuel Gloade
    Samuel Gloade is a songwriter and music producer known for his credited work on the track "Off the Grid."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790c935881908f901d058e6a83a9 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.