Triple

T14694664
Position Surface form Disambiguated ID Type / Status
Subject Lili Elbe E345121 entity
Predicate portrayedBy P1507 FINISHED
Object Eddie Redmayne E106298 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: Eddie Redmayne | Statement: [Lili Elbe, portrayedBy, Eddie Redmayne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eddie Redmayne
Context triple: [Lili Elbe, portrayedBy, Eddie Redmayne]
  • A. Eddie Redmayne chosen
    Eddie Redmayne is an English actor acclaimed for his transformative performances in film and theatre, including his Oscar-winning role in "The Theory of Everything."
  • B. James McAvoy
    James McAvoy is a Scottish actor known for his versatile performances in films such as the X-Men series, Atonement, and Split.
  • C. Ben Whishaw
    Ben Whishaw is an English actor known for his versatile performances in film, television, and theatre, including roles such as Q in the James Bond series and the voice of Paddington Bear.
  • D. Benedict Cumberbatch
    Benedict Cumberbatch is an acclaimed English actor known for his roles in the television series "Sherlock" and films such as "The Imitation Game" and the Marvel Cinematic Universe's "Doctor Strange."
  • E. Rafe Spall
    Rafe Spall is an English actor known for his roles in films such as "Life of Pi," "The Big Short," and "Hot Fuzz," as well as various television and stage productions.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb586e7108190be644db9cf9a4d99 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18e279c8190814f90e947734541 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.