Triple

T13865764
Position Surface form Disambiguated ID Type / Status
Subject Eric Marlon Bishop E333320 entity
Predicate middleName P143 FINISHED
Object Marlon E326461 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: Marlon | Statement: [Eric Marlon Bishop, middleName, Marlon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlon
Context triple: [Eric Marlon Bishop, middleName, Marlon]
  • A. Marlon chosen
    Marlon is a masculine given name most famously associated with legendary American actor Marlon Brando.
  • B. Marlon Pryce
    Marlon Pryce is a young, reformed petty criminal who becomes a trainee police officer in the British-French crime drama series "Death in Paradise."
  • C. Marlon Richards
    Marlon Richards is a British artist and photographer best known as the son of Rolling Stones guitarist Keith Richards and model Anita Pallenberg.
  • D. Marlon Taylor
    Marlon Taylor is an American former child actor best known for playing young Mike Hanlon in the 1990 television miniseries adaptation of Stephen King’s "It."
  • E. Brody Duke
    Brody Duke was an American tobacco industrialist and member of the prominent Duke family that helped shape the tobacco industry in the late 19th century.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c419d481909230e8879b6dab5c completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c1039128819086cfe9f966b9f142 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.