Triple

T13721035
Position Surface form Disambiguated ID Type / Status
Subject Oliver Wendell Douglas E329034 entity
Predicate associatedWith P37 FINISHED
Object Eb Dawson E951676 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: Eb Dawson | Statement: [Oliver Wendell Douglas, associatedWith, Eb Dawson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eb Dawson
Context triple: [Oliver Wendell Douglas, associatedWith, Eb Dawson]
  • A. Eb Dawson chosen
    Eb Dawson is a naive but lovable farmhand and surrogate son to Oliver and Lisa Douglas on the classic American sitcom "Green Acres."
  • B. David Dawson
    David Dawson is a British actor known for his work in television, film, and theatre, including a prominent role in the romantic drama film "My Policeman."
  • C. Matthew Dawson
    Matthew Dawson was a prominent 19th-century British racehorse trainer renowned for preparing multiple classic-winning Thoroughbreds.
  • D. Sam Dawson
    Sam Dawson is a developmentally disabled single father who fights a legal battle to retain custody of his young daughter in the film "I Am Sam."
  • E. Mark Dawson
    Mark Dawson is one of the children of the late British-American actor and game show host Richard Dawson.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f3b46481909ceedfa78e9ca92b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a84a2ed481909005720b0531e585 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.