Triple

T20743829
Position Surface form Disambiguated ID Type / Status
Subject Chris Noonan E510513 entity
Predicate notableWork P4 FINISHED
Object Miss Potter NE NERFINISHED

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: Miss Potter | Statement: [Chris Noonan, notableWork, Miss Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Potter
Context triple: [Chris Noonan, notableWork, Miss Potter]
  • A. Miss Potter (2006 film) chosen
    Miss Potter (2006 film) is a biographical drama about children's author and illustrator Beatrix Potter, starring Renée Zellweger and Ewan McGregor.
  • B. The Amazing Mrs Pritchard
    The Amazing Mrs Pritchard is a British television drama series about an ordinary supermarket manager who unexpectedly becomes Prime Minister of the United Kingdom.
  • C. Painless Potter
    Painless Potter is a bumbling, pain-immune dentist character portrayed by Bob Hope in the 1948 Western comedy film "The Paleface."
  • D. Potter to Her Majesty
    Potter to Her Majesty is an honorary royal warrant-style designation granted to a distinguished ceramics manufacturer serving the British monarch.
  • E. Alice in Widows
    Alice in Widows is a vulnerable yet increasingly empowered young widow who becomes a key member of a heist crew in the crime thriller film "Widows."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.