Triple

T8435910
Position Surface form Disambiguated ID Type / Status
Subject Lunar: The Silver Star E199222 entity
Predicate publisher P29 FINISHED
Object Sega E200316 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: Sega | Statement: [Lunar: The Silver Star, publisher, Sega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sega
Context triple: [Lunar: The Silver Star, publisher, Sega]
  • A. Sega chosen
    Sega is a Japanese video game and entertainment company best known for its iconic consoles and franchises such as Sonic the Hedgehog.
  • B. Jaleco
    Jaleco was a Japanese video game company known for developing and publishing arcade and home console titles from the 1980s through the early 2000s.
  • C. Sega Technical Institute
    Sega Technical Institute was an American Sega development division active in the early 1990s, best known for creating innovative Sega Genesis titles such as Comix Zone and Sonic the Hedgehog 2.
  • D. SEGA Republic
    SEGA Republic was an indoor theme park and entertainment center in Dubai themed around Sega video game franchises, featuring arcade games and amusement rides.
  • E. Konami
    Konami is a major Japanese entertainment company best known for developing and publishing popular video game franchises such as Metal Gear, Castlevania, and Silent Hill.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe132a6f881908f990089792fccc4 completed March 31, 2026, 2:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc91af4f4819087b59eadbf3a6c26 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:08 p.m.