Triple

T8561943
Position Surface form Disambiguated ID Type / Status
Subject Maniac Mansion E202710 entity
Predicate platform P1292 FINISHED
Object NES E236177 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: NES | Statement: [Maniac Mansion, platform, NES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NES
Context triple: [Maniac Mansion, platform, NES]
  • A. NES
    NES is a web server software product developed by Netscape for hosting and managing websites and web applications.
  • B. 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.
  • C. Nintendo DS
    The Nintendo DS is a dual-screen handheld gaming console released by Nintendo that popularized touch-based gameplay and wireless multiplayer features.
  • D. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • E. Nes
    Nes is a municipality in Viken county, Norway, known for its agricultural landscape and location along the Glomma River.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe94c0c3c8190aca981c07b090dc0 completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce895657188190886779180b783bf3 completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:20 p.m.