Triple

T20877492
Position Surface form Disambiguated ID Type / Status
Subject Officer Tom Hanson E514057 entity
Predicate fullName P16 FINISHED
Object Thomas Hanson 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: Thomas Hanson | Statement: [Officer Tom Hanson, fullName, Thomas Hanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Hanson
Context triple: [Officer Tom Hanson, fullName, Thomas Hanson]
  • A. Martin Hanson
    Martin Hanson is a fictional character played by actor Gil Birmingham, likely appearing in a film or television production.
  • B. Tom Hanson chosen
    Tom Hanson is the son of English actress Samantha Bond, known for her roles in the James Bond film series and various British television dramas.
  • C. Mark Hanson
    Mark Hanson is an Australian figure best known as the former husband of controversial right-wing politician Pauline Hanson.
  • D. Martin Lindauer
    Martin Lindauer was a German behavioral biologist and prominent honeybee researcher known for his pioneering work on insect communication and social organization.
  • E. Eric Magnusson
    Eric Magnusson, also known as Eric II of Norway, was a 13th-century Norwegian king whose reign was marked by internal power struggles and efforts to consolidate royal authority.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c6767ec0819080721e2e75bd0d66 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:45 p.m.