Triple

T8368014
Position Surface form Disambiguated ID Type / Status
Subject Emily Watson E197382 entity
Predicate name P16 FINISHED
Object Emily Watson E197382 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: Emily Watson | Statement: [Emily Watson, name, Emily Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Watson
Context triple: [Emily Watson, name, Emily Watson]
  • A. Emily Watson chosen
    Emily Watson is an acclaimed English actress known for her powerful performances in films such as "Breaking the Waves," "Hilary and Jackie," and "Punch-Drunk Love."
  • B. Sophie Fiennes
    Sophie Fiennes is a British film director and producer known for her innovative documentaries and collaborations with artists and philosophers.
  • C. 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."
  • D. Margot Tennant
    Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
  • E. Rosamund Pike
    Rosamund Pike is an English actress known for her versatile performances in film and television, including acclaimed roles in movies such as "Gone Girl" and "Pride & Prejudice."
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808e56fc81908b5d37482f29452d completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce888975b081908af58968e43cdac9 completed April 2, 2026, 3:17 p.m.
Created at: March 30, 2026, 6 p.m.