Triple

T20165652
Position Surface form Disambiguated ID Type / Status
Subject Duck Hunt E491818 entity
Predicate originalPlatformRegion P138922 FINISHED
Object NES 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: NES | Statement: [Duck Hunt, originalPlatformRegion, NES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NES
Context triple: [Duck Hunt, originalPlatformRegion, NES]
  • A. NES
    NES is a music producer known for crafting the sound of the hip-hop track "Invasion of Privacy."
  • B. NES
    NES is a web server software product developed by Netscape for hosting and managing websites and web applications.
  • C. NES
    NES is the vehicle registration code used on license plates for the Rhön-Grabfeld district in northern Bavaria, Germany.
  • D. Nintendo consoles chosen
    Nintendo consoles are a series of home and handheld video game systems created by Nintendo, known for iconic hardware like the NES, Game Boy, Wii, and Switch and for hosting many of the company’s flagship game franchises.
  • E. Nintendo DS
    The Nintendo DS is a dual-screen handheld gaming console released by Nintendo that popularized touch-based gameplay and wireless multiplayer features.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668442d2c81908bb1a0fac9895b5e completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.