Triple

T17907328
Position Surface form Disambiguated ID Type / Status
Subject Numbuh 1 E447734 entity
Predicate familyName P18 FINISHED
Object Uno NE NERFINISHED

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: Uno | Statement: [Numbuh 1, familyName, Uno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uno
Context triple: [Numbuh 1, familyName, Uno]
  • A. Uno
    Uno is a popular shedding-type card game in which players race to discard all their cards by matching colors or numbers and using special action cards.
  • B. Uno
    Uno is one of the islands in Guinea-Bissau’s Bijagós Archipelago, a coastal island group in West Africa known for its rich biodiversity and traditional communities.
  • C. Uno
    Uno is a Norwegian crime drama film best known for starring and being co-written by actor-director Aksel Hennie.
  • D. Uno chosen
    Uno is a Japanese surname most notably associated with Sōsuke Uno, a former Prime Minister of Japan.
  • E. Un Peso
    "Un Peso" is a song by the British rock band Oasis, known among fans as one of their lesser-known tracks outside the band's major hits.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9d458881909e35e1c7a6e85436 completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.