Triple

T3327772
Position Surface form Disambiguated ID Type / Status
Subject Dylan Michael Douglas E69957 entity
Predicate uncle P8496 FINISHED
Object Eric Douglas E332511 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: Eric Douglas | Statement: [Dylan Michael Douglas, uncle, Eric Douglas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Douglas
Context triple: [Dylan Michael Douglas, uncle, Eric Douglas]
  • A. Eric Douglas chosen
    Eric Douglas was an American actor and stand-up comedian, best known as the son of legendary film star Kirk Douglas and for his supporting roles in film and television during the 1980s and 1990s.
  • B. Russ Gee
    Russ Gee is an automotive designer best known for his work on the iconic Pontiac GTO muscle car.
  • C. Sid Jeffers
    Sid Jeffers is a fictional character from the film "Humoresque," involved in the dramatic world surrounding a talented but troubled violinist.
  • D. Darryl Hill
    Darryl Hill is an American rapper best known as Cappadonna, a longtime affiliate and later official member of the Wu-Tang Clan.
  • E. Eric Marlon Bishop
    Eric Marlon Bishop, better known by his stage name Jamie Foxx, is an American actor, comedian, singer, and producer acclaimed for his versatility and Academy Award–winning performances.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16f61248190bab10f4ac9e066f7 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7ce34c81908df0c30a41fd925c completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.