Triple

T9968724
Position Surface form Disambiguated ID Type / Status
Subject Rosie Huntington-Whiteley E195749 entity
Predicate givenName P17 FINISHED
Object Rosie E487544 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: Rosie | Statement: [Rosie Huntington-Whiteley, givenName, Rosie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosie
Context triple: [Rosie Huntington-Whiteley, givenName, Rosie]
  • A. Rosie chosen
    Rosie is a common diminutive given name typically used as a familiar or affectionate form of Rosemary and similar names.
  • B. Rosie
    Rosie is the nickname for the Rose M. Singer Center, a women’s jail facility on New York City’s Rikers Island.
  • C. Rosie
    "Rosie" is a novel by British gardener, broadcaster, and author Alan Titchmarsh, showcasing his talent for warm, character-driven storytelling beyond his well-known horticultural work.
  • D. Rosie
    Rosie is a black widow spider and circus performer in Pixar's animated film "A Bug's Life," known for her tough yet nurturing personality.
  • E. Rosie
    Rosie is a fictional character from the short-lived 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b683ac8190ac97bd775a860d29 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dc117f48190ad66dd62f9833a10 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:47 p.m.