Triple

T4614645
Position Surface form Disambiguated ID Type / Status
Subject Sexiest Man Alive E100837 entity
Predicate hasNotableRecipient P108 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: [Sexiest Man Alive, hasNotableRecipient, Chris Hemsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Hemsworth
Context triple: [Sexiest Man Alive, hasNotableRecipient, 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. Hemsworth
    Hemsworth is a parliamentary constituency in West Yorkshire, England, represented in the UK House of Commons.
  • C. 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.
  • D. 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.
  • E. Sarah Hiddleston
    Sarah Hiddleston is best known as the sister of British actor Tom Hiddleston.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c3d9ec8190a50ef03627dc351d completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa895b7481909e54cfa56a54c8dc completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.