Triple

T18028537
Position Surface form Disambiguated ID Type / Status
Subject James Norman Hiddleston E431325 entity
Predicate child P120 FINISHED
Object Tom Hiddleston 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: Tom Hiddleston | Statement: [James Norman Hiddleston, child, Tom Hiddleston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Hiddleston
Context triple: [James Norman Hiddleston, child, Tom Hiddleston]
  • A. Tom Hiddleston chosen
    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.
  • B. James Norman Hiddleston
    James Norman Hiddleston is the father of British actor Tom Hiddleston and is known as a Scottish-born chemist and former managing director in the pharmaceutical industry.
  • C. Sarah Hiddleston
    Sarah Hiddleston is best known as the sister of British actor Tom Hiddleston.
  • D. Magnus Ferrell
    Magnus Ferrell is an American actor and musician best known as the son of comedian Will Ferrell, with appearances in films such as "Anchorman 2: The Legend Continues."
  • E. Chris Hemsworth
    Chris Hemsworth is an Australian actor best known for portraying the Marvel superhero Thor in the Marvel Cinematic Universe films.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be332a7081909124abdd98430a8a completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.