Triple

T14119655
Position Surface form Disambiguated ID Type / Status
Subject Alice E339871 entity
Predicate portrayedByVoice P13156 FINISHED
Object Kathryn Beaumont E429842 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: Kathryn Beaumont | Statement: [Alice, portrayedByVoice, Kathryn Beaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathryn Beaumont
Context triple: [Alice, portrayedByVoice, Kathryn Beaumont]
  • A. Kathryn Beaumont chosen
    Kathryn Beaumont is a British-American actress and schoolteacher best known for providing the voice and live-action reference for Alice in Disney’s animated film "Alice in Wonderland" and Wendy in "Peter Pan."
  • B. 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.
  • C. Barbara Trentham
    Barbara Trentham was an American model and actress who later became a painter, known in part for her marriage to British comedian John Cleese.
  • D. Lorraine Broughton
    Lorraine Broughton is a highly skilled, stylish MI6 spy and lethal combatant who serves as the protagonist of the action thriller film "Atomic Blonde."
  • E. Carol Beldon
    Carol Beldon is a central young character in the World War II–era novel and film "Mrs. Miniver," known for her poignant romance and tragic fate.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff677935408190a28af4cd34d82aa4 completed May 9, 2026, 4:57 p.m.
Created at: April 9, 2026, 10:22 p.m.