Triple
T1789485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega CD |
E39462
|
entity |
| Predicate | manufacturer |
P490
|
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: [Sega CD, manufacturer, Sega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sega Context triple: [Sega CD, manufacturer, 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.
Sony
Sony is a Japanese multinational conglomerate best known for its consumer electronics, gaming (PlayStation), entertainment, and imaging products.
-
C.
Atari, Inc.
Atari, Inc. was a pioneering American video game and home computer company best known for popularizing arcade games and early home consoles like the Atari 2600.
-
D.
Nintendo
Nintendo is a Japanese video game company best known for creating iconic franchises such as Mario, The Legend of Zelda, and Pokémon, as well as popular gaming consoles like the Nintendo Switch.
-
E.
SNK
SNK is a Japanese video game company best known for its arcade and home console systems and fighting game franchises such as The King of Fighters, Samurai Shodown, and Metal Slug.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65111e5481909c22abb6ad966814 |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf54330c81908046b519a0297760 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.