Triple
T10391103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tetris |
E244892
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Puyo Puyo |
E736638
|
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: Puyo Puyo | Statement: [Tetris, influenced, Puyo Puyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puyo Puyo Context triple: [Tetris, influenced, Puyo Puyo]
-
A.
Puyo Puyo
chosen
Puyo Puyo is a fast-paced puzzle video game series by Sega, known for its colorful blob characters and competitive chain-combo gameplay.
-
B.
Puyo
Puyo is a small city in eastern Ecuador that serves as a gateway to the Amazon rainforest and a regional center for eco-tourism and trade.
-
C.
Pu$$y
"Pu$$y" is a provocative 2012 hip hop single by Australian rapper Iggy Azalea that helped establish her early notoriety and online buzz.
-
D.
Pompompurin
Pompompurin is a popular Sanrio character, a laid-back golden retriever dog known for his brown beret and love of pudding.
-
E.
Touki Bouki
Touki Bouki is a 1973 Senegalese avant-garde road film by Djibril Diop Mambéty, celebrated for its innovative style and critique of postcolonial society.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b5b43081908641a5abfb08dc2b |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795b9974c819087340adc3622279e |
completed | April 9, 2026, 12:04 p.m. |
Created at: April 6, 2026, 12:06 p.m.