Triple

T7604011
Position Surface form Disambiguated ID Type / Status
Subject The Chronicles of Narnia: Prince Caspian E180054 entity
Predicate starring P1507 FINISHED
Object Anna Popplewell E689418 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: Anna Popplewell | Statement: [The Chronicles of Narnia: Prince Caspian, starring, Anna Popplewell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Popplewell
Context triple: [The Chronicles of Narnia: Prince Caspian, starring, Anna Popplewell]
  • A. Anna Popplewell chosen
    Anna Popplewell is an English actress best known for playing Susan Pevensie in the film adaptations of C.S. Lewis's "The Chronicles of Narnia."
  • B. Mary Elizabeth Piper
    Mary Elizabeth Piper was the wife of English actor James Fox.
  • C. Anne Bracegirdle
    Anne Bracegirdle was a celebrated late 17th-century English stage actress renowned for her virtuous public image and prominent roles in Restoration comedy.
  • D. Shiri Appleby
    Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
  • E. Emily Charlton
    Emily Charlton is the ambitious, fashion-obsessed first assistant to Miranda Priestly in "The Devil Wears Prada," known for her sharp wit and cutting remarks.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9a53a44e48190bddf0f4faec136e7 completed March 29, 2026, 10:18 p.m.
Created at: March 27, 2026, 3:54 p.m.