Triple

T21282177
Position Surface form Disambiguated ID Type / Status
Subject Radha Mitchell E524552 entity
Predicate workedWith P398 FINISHED
Object Viggo Mortensen NE NERFINISHED

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: Viggo Mortensen | Statement: [Radha Mitchell, workedWith, Viggo Mortensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viggo Mortensen
Context triple: [Radha Mitchell, workedWith, Viggo Mortensen]
  • A. Viggo Mortensen chosen
    Viggo Mortensen is an American actor, poet, musician, and painter best known for his portrayal of Aragorn in Peter Jackson’s The Lord of the Rings film trilogy.
  • B. Sean Bean
    Sean Bean is an English actor renowned for his intense performances in film and television, including his iconic role as Boromir in The Lord of the Rings trilogy.
  • C. Viggo Christensen
    Viggo Christensen was a Danish politician who served as the first Lord Mayor of Copenhagen, playing a key role in the city’s mid-20th-century governance.
  • D. Mark Firth
    Mark Firth was a prominent 19th-century industrialist and philanthropist from Sheffield, England, known for his major contributions to education and civic life in the city.
  • E. Michael Rooker
    Michael Rooker is an American actor best known for his roles as Yondu in the Marvel Cinematic Universe and Merle Dixon in the television series The Walking Dead.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d249fc8190b0b310467ddeac3c completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:02 p.m.