Triple

T16379520
Position Surface form Disambiguated ID Type / Status
Subject The Spanish Princess E397762 entity
Predicate stars P1956 FINISHED
Object Georgie Henley E668477 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: Georgie Henley | Statement: [The Spanish Princess, stars, Georgie Henley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgie Henley
Context triple: [The Spanish Princess, stars, Georgie Henley]
  • A. Georgie Henley chosen
    Georgie Henley is an English actress best known for playing Lucy Pevensie in the film adaptations of C.S. Lewis's "The Chronicles of Narnia" series.
  • B. Sophie Rundle
    Sophie Rundle is a British actress best known for her role as Ada Shelby in the television crime drama series "Peaky Blinders."
  • C. Katherine Hoult
    Katherine Hoult is known as the spouse of Richard Mather.
  • D. Anya Taylor-Joy
    Anya Taylor-Joy is an award-winning actress known for her breakout role in "The Queen's Gambit" and performances in films such as "The Witch," "Split," and "Last Night in Soho."
  • E. Isaac Hempstead Wright
    Isaac Hempstead Wright is an English actor best known for portraying Bran Stark in the HBO fantasy television series Game of Thrones.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319da3c6c8190a9ccf744996c31e8 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356658e881908131a3c60ed5499d completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.