Triple

T20190843
Position Surface form Disambiguated ID Type / Status
Subject Nintendo EPD E492973 entity
Predicate notableWork P4 FINISHED
Object 1-2-Switch 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: 1-2-Switch | Statement: [Nintendo EPD, notableWork, 1-2-Switch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 1-2-Switch
Context triple: [Nintendo EPD, notableWork, 1-2-Switch]
  • A. 1-2-Switch chosen
    1-2-Switch is a party video game for the Nintendo Switch that features a collection of motion-controlled mini-games designed for local multiplayer play.
  • B. SWITCH
    SWITCH is the Swiss national research and education network organization that provides internet infrastructure, security, and related digital services for Swiss universities and the .ch domain.
  • C. Switch 2
    Switch 2 is the widely used informal name for Nintendo’s anticipated next-generation successor to the Nintendo Switch hybrid game console.
  • D. The Switch
    The Switch is a crime novel by Elmore Leonard that follows a pair of small-time crooks whose kidnapping scheme spirals into darkly comic complications.
  • E. The Switch
    The Switch is a 2010 romantic comedy film starring Jason Bateman and Jennifer Aniston, centered on an accidental sperm donor mix-up and its consequences years later.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad593f88190a1e534fed38b3cd7 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.