Triple

T4669861
Position Surface form Disambiguated ID Type / Status
Subject Chris Webber E102935 entity
Predicate familyName P18 FINISHED
Object Webber E298917 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: Webber | Statement: [Chris Webber, familyName, Webber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Webber
Context triple: [Chris Webber, familyName, Webber]
  • A. Webber chosen
    Webber is a surname most notably associated with figures such as British composer Andrew Lloyd Webber and various other individuals across arts, sports, and public life.
  • B. John Webber
    John Webber was an 18th-century Swiss-born British artist best known as the official draughtsman on Captain James Cook’s third Pacific voyage, where he produced many influential landscapes and ethnographic illustrations.
  • C. Ty Webb
    Ty Webb is a laid-back, eccentric and philosophically minded golfer portrayed by Chevy Chase in the comedy film "Caddyshack."
  • D. Wiatt
    Wiatt is a given name that functions as a less common spelling variant of the name Wyatt.
  • E. Wuhl
    Wuhl is the surname of American actor, comedian, and writer Robert Wuhl, known for his roles in films like "Bull Durham" and the TV series "Arliss."
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd634ef5608190925663e988e3585b completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0390c238819089fb54648dfe1e64 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.