Triple

T12840292
Position Surface form Disambiguated ID Type / Status
Subject George Foreman E307030 entity
Predicate familyName P18 FINISHED
Object Foreman E938184 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: Foreman | Statement: [George Foreman, familyName, Foreman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foreman
Context triple: [George Foreman, familyName, Foreman]
  • A. Foreman
    Foreman is an open-source lifecycle management and provisioning tool for physical and virtual servers, commonly used to automate system configuration and deployment.
  • B. Foreman chosen
    Foreman is a surname most notably associated with individuals such as American screenwriter and film producer Carl Foreman.
  • C. Freeman Meskimen
    Freeman Meskimen was an American actor and the husband of actress Marion Ross.
  • D. Thaddeus Farrow
    Thaddeus Farrow was one of Mia Farrow’s adopted children, known publicly mainly through his connection to the Farrow family and his tragic death in 2016.
  • E. Antony Firingee
    Antony Firingee is a 1967 Bengali biographical musical drama film starring Uttam Kumar as a Portuguese-born poet who embraces Bengali culture and faces social opposition.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edeaa1881909e06600ef88727de completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:35 p.m.