Triple
T3778086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega Sports |
E83355
|
entity |
| Predicate | parentOrganization |
P254
|
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 Sports, parentOrganization, Sega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sega Context triple: [Sega Sports, parentOrganization, 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.
Midway Games
Midway Games was an American video game company best known for publishing and developing popular arcade and console titles such as the Mortal Kombat series.
-
E.
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.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5d3dbc8190b6ab118a56acd5a3 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f03d3df48190a4b2382059b7bb24 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 8, 2026, 3:36 p.m.