Triple

T1782002
Position Surface form Disambiguated ID Type / Status
Subject Thor: Ragnarok E39309 entity
Predicate castMember P1668 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: [Thor: Ragnarok, castMember, Chris Hemsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Hemsworth
Context triple: [Thor: Ragnarok, castMember, 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. 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.
  • C. Garrett Hedlund
    Garrett Hedlund is an American actor and singer known for roles in films such as "Tron: Legacy," "Friday Night Lights," and "Country Strong."
  • D. Jai Courtney
    Jai Courtney is an Australian actor known for his roles in action and blockbuster films such as the Divergent series, A Good Day to Die Hard, and Suicide Squad.
  • E. David Harbour
    David Harbour is an American actor best known for his role as Jim Hopper in the Netflix series "Stranger Things" and for starring in various film and television projects.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e34fe881908aa75f2b4141b87b completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5cbefec8190940cf2a4f692394e completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:31 p.m.