Triple

T4371399
Position Surface form Disambiguated ID Type / Status
Subject Nathan Ford E98904 entity
Predicate portrayedBy P1507 FINISHED
Object Timothy Hutton E35734 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: Timothy Hutton | Statement: [Nathan Ford, portrayedBy, Timothy Hutton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy Hutton
Context triple: [Nathan Ford, portrayedBy, Timothy Hutton]
  • A. Timothy Hutton chosen
    Timothy Hutton is an American actor best known for winning an Academy Award for his role in the film "Ordinary People" and for starring in the television series "Leverage."
  • B. Henry Thomas
    Henry Thomas is an American actor best known for his childhood role as Elliott in the classic science fiction film "E.T. the Extra-Terrestrial."
  • C. David Bamber
    David Bamber is an English actor known for his character roles in British television and film, including his portrayal of Mr. Collins in the 1995 adaptation of "Pride and Prejudice."
  • D. Liam Aiken
    Liam Aiken is an American actor known for his roles as a child and teen in films such as "A Series of Unfortunate Events," "Good Boy!" and "Stepmom."
  • E. Oliver Hudson
    Oliver Hudson is an American actor known for his roles in television series such as "Rules of Engagement," "Nashville," and "Scream Queens."
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521dffbc8190b9300a7f4f64bdc0 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50bcc9481909b0b9d60198dce63 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.