Triple

T12277384
Position Surface form Disambiguated ID Type / Status
Subject Leo Wagonman E292623 entity
Predicate fictionalUniverse P3758 FINISHED
Object George & Leo E60343 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: George & Leo | Statement: [Leo Wagonman, fictionalUniverse, George & Leo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George & Leo
Context triple: [Leo Wagonman, fictionalUniverse, George & Leo]
  • A. George & Leo chosen
    George & Leo is a short-lived 1990s American sitcom starring Bob Newhart and Judd Hirsch as an unlikely pair of in-laws navigating family and generational clashes.
  • B. Georgie
    Georgie is a personal given name used by Ruth Georgie Erica Schrödinger.
  • C. Georgie
    Georgie is a character from the British romantic comedy film "Chalet Girl," which follows a former skateboarding champion working at an upscale ski resort.
  • D. Georgie
    Georgie is one of Alex's fellow teenage delinquents and a member of his violent gang in Anthony Burgess's dystopian novel "A Clockwork Orange."
  • E. Big George
    Big George is the famous nickname of George Foreman, the two-time world heavyweight boxing champion and Olympic gold medalist who later became a successful entrepreneur and television personality.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a959e7c8190a005f20728cb71e0 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.