Triple

T970266
Position Surface form Disambiguated ID Type / Status
Subject The Crown E20928 entity
Predicate creator P184 FINISHED
Object Peter Morgan E74595 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: Peter Morgan | Statement: [The Crown, creator, Peter Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Morgan
Context triple: [The Crown, creator, Peter Morgan]
  • A. Peter Morgan chosen
    Peter Morgan is a British screenwriter and playwright best known for his political and historical dramas, including works like The Queen and the series The Crown.
  • B. Derek Jacobi
    Derek Jacobi is an acclaimed English actor known for his distinguished stage and screen career, including notable performances in classical theatre and numerous film and television roles.
  • C. Robin Cook
    Robin Cook is a British Labour Party politician who served as Foreign Secretary from 1997 to 2001 and was known for his principled resignation over the Iraq War.
  • D. Simon Callow
    Simon Callow is a British actor, director, and writer renowned for his stage and screen work, including roles in films like "Four Weddings and a Funeral" and his acclaimed portrayals of Charles Dickens.
  • E. Michael Sheen
    Michael Sheen is a Welsh actor known for his versatile performances in film, television, and theatre, including prominent roles in projects like "Frost/Nixon," "The Queen," and "Good Omens."
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b4497d688190b59c3a195e377080 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1707339081909c69c7c613eed383 completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.