Triple

T2768504
Position Surface form Disambiguated ID Type / Status
Subject George MacKay E61394 entity
Predicate workedWith P398 FINISHED
Object Viggo Mortensen E47100 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: Viggo Mortensen | Statement: [George MacKay, workedWith, Viggo Mortensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viggo Mortensen
Context triple: [George MacKay, 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. 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.
  • D. Elijah Wood
    Elijah Wood is an American actor best known for portraying the hobbit Frodo Baggins in Peter Jackson’s film adaptations of J.R.R. Tolkien’s "The Lord of the Rings."
  • E. Stellan Skarsgård
    Stellan Skarsgård is a Swedish actor known for his versatile performances in international films and television, including major roles in projects like "Good Will Hunting," "Chernobyl," and the "Pirates of the Caribbean" and "Dune" franchises.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6785d88190b99f99889463a962 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04dc7808190bb8425ed87cf74c0 completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.