Triple

T499280
Position Surface form Disambiguated ID Type / Status
Subject The Railway Man E10363 entity
Predicate starring P1507 FINISHED
Object Colin Firth E1984 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: Colin Firth | Statement: [The Railway Man, starring, Colin Firth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colin Firth
Context triple: [The Railway Man, starring, Colin Firth]
  • A. Colin Firth chosen
    Colin Firth is an Academy Award–winning English actor renowned for his nuanced performances in films such as "The King’s Speech," "Pride and Prejudice," and "A Single Man."
  • B. Joseph Fiennes
    Joseph Fiennes is an English actor known for his roles in films such as "Shakespeare in Love" and various historical and dramatic productions in both cinema and television.
  • C. Rupert Everett
    Rupert Everett is an English actor and writer known for his sophisticated screen presence and roles in films such as "My Best Friend’s Wedding" and "An Ideal Husband."
  • D. Benedict Cumberbatch
    Benedict Cumberbatch is an acclaimed English actor known for his roles in the television series "Sherlock" and films such as "The Imitation Game" and the Marvel Cinematic Universe's "Doctor Strange."
  • E. Hugh Grant
    Hugh Grant is a British actor best known for his charming, self-deprecating roles in romantic comedies such as "Four Weddings and a Funeral," "Notting Hill," and "Love Actually."
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f119b14c8190a5a6b119579c2682 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5216a74088190bf8d363d32952c28 completed March 2, 2026, 5:34 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.