Triple

T16129908
Position Surface form Disambiguated ID Type / Status
Subject Gordon Jackson E391367 entity
Predicate name P16 FINISHED
Object Gordon Jackson E391367 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: Gordon Jackson | Statement: [Gordon Jackson, name, Gordon Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Jackson
Context triple: [Gordon Jackson, name, Gordon Jackson]
  • A. Gordon Jackson chosen
    Gordon Jackson was a Scottish actor best known for his roles in the television series "Upstairs, Downstairs" and "The Professionals."
  • B. Gordon Jones
    Gordon Jones was an American character actor known for his roles in numerous mid-20th-century films and television series, often portraying comic or tough-guy supporting characters.
  • C. Gordon Bradley
    Gordon Bradley was an English-born footballer and influential coach best known for his role in developing professional soccer in the United States, including in the NASL.
  • D. Gordon Henderson
    Gordon Henderson is a British Conservative politician who has served as the Member of Parliament for the Kent constituency of Sittingbourne and Sheppey.
  • E. Gordon Dawson
    Gordon Dawson is an American screenwriter and producer best known for his collaborations with director Sam Peckinpah on films such as "Bring Me the Head of Alfredo Garcia."
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202075860819088d27d921609a6ce completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009d25abec8190954b640b63efa0c2 completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:01 a.m.