Triple

T11235365
Position Surface form Disambiguated ID Type / Status
Subject Bitter Moon E265927 entity
Predicate hasCastMember P2308 FINISHED
Object Kristin Scott Thomas E53718 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: Kristin Scott Thomas | Statement: [Bitter Moon, hasCastMember, Kristin Scott Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristin Scott Thomas
Context triple: [Bitter Moon, hasCastMember, Kristin Scott Thomas]
  • A. Kristin Scott Thomas chosen
    Kristin Scott Thomas is an acclaimed British actress known for her nuanced performances in films such as "The English Patient," "Four Weddings and a Funeral," and "The Horse Whisperer."
  • B. Maggie Macfadyen
    Maggie Macfadyen is the daughter of British actor Matthew Macfadyen and his wife, actress Keeley Hawes.
  • C. Emily Mortimer
    Emily Mortimer is a British actress known for her versatile film and television roles, including performances in projects like "Mary Poppins Returns," "Match Point," and "The Newsroom."
  • D. Catherine Bell
    Catherine Bell is an American actress best known for her role as Lieutenant Colonel Sarah "Mac" MacKenzie on the television series JAG.
  • E. Alison Pill
    Alison Pill is a Canadian actress known for her versatile performances in film, television, and theater, including prominent roles in projects like "Scott Pilgrim vs. the World," "The Newsroom," and "Star Trek: Picard."
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ed654848190b53e8b64d81eb143 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:30 p.m.