Triple

T11682316
Position Surface form Disambiguated ID Type / Status
Subject Barbara Flynn E277647 entity
Predicate notableWork P4 FINISHED
Object Miss Potter E121584 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: Miss Potter | Statement: [Barbara Flynn, notableWork, Miss Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Potter
Context triple: [Barbara Flynn, 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. 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.
  • C. 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."
  • D. Nanny and the Professor
    Nanny and the Professor is an early-1970s American sitcom about a magical British nanny who brings order and whimsy to a widowed professor’s household and his three children.
  • E. Muff Potter
    Muff Potter is a hapless, kind-hearted but often drunk vagrant and accused murderer in Mark Twain’s novel "The Adventures of Tom Sawyer."
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef141134bc81908c0cfb0a3711c115 completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.