Triple

T16008407
Position Surface form Disambiguated ID Type / Status
Subject Joseph Kosinski E388275 entity
Predicate workedWith P398 FINISHED
Object Chris Hemsworth E197177 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: Chris Hemsworth | Statement: [Joseph Kosinski, workedWith, Chris Hemsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Hemsworth
Context triple: [Joseph Kosinski, workedWith, Chris Hemsworth]
  • A. Chris Hemsworth chosen
    Chris Hemsworth is an Australian actor best known for portraying the Marvel superhero Thor in the Marvel Cinematic Universe films.
  • B. Sasha Hemsworth
    Sasha Hemsworth is one of the twin sons of Australian actor Chris Hemsworth and Spanish actress Elsa Pataky.
  • C. Hemsworth
    Hemsworth is a parliamentary constituency in West Yorkshire, England, represented in the UK House of Commons.
  • D. Tom Hiddleston
    Tom Hiddleston is an English actor best known for his charismatic portrayal of Loki in the Marvel Cinematic Universe and for acclaimed performances in film, television, and theatre.
  • E. Hunter Johansson
    Hunter Johansson is an American actor and activist best known as the twin brother of actress Scarlett Johansson.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15800e3608190bd3e1123ccc6c326 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf22db3481909141ddef151d0341 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.