Triple

T15289402
Position Surface form Disambiguated ID Type / Status
Subject Mr. Right (2015 film) E365487 entity
Predicate starring P1507 FINISHED
Object James Ransone E727761 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: James Ransone | Statement: [Mr. Right (2015 film), starring, James Ransone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Ransone
Context triple: [Mr. Right (2015 film), starring, James Ransone]
  • A. James Ransone chosen
    James Ransone is an American actor known for his roles in films like "It Chapter Two" and the "Sinister" series, as well as various television dramas.
  • B. Michael Culver
    Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
  • C. Eric Palicki
    Eric Palicki is an American comic book writer known for creator-owned and independent titles, and as the brother of actress Adrianne Palicki.
  • D. Matt Roth
    Matt Roth is an American actor known for his television work, including recurring roles on the sitcom "Roseanne."
  • E. Tim Rock
    Tim Rock is a notable individual who shares the surname "Rock," though specific widely recognized details about his career or achievements are not clearly established.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7d4da4819080f101c3a525ea11 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.