Triple
T6864595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezaki Glico Co., Ltd. |
E158365
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Bisco |
E623308
|
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: Bisco | Statement: [Ezaki Glico Co., Ltd., notableProduct, Bisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bisco Context triple: [Ezaki Glico Co., Ltd., notableProduct, Bisco]
-
A.
Bisco
chosen
Bisco is a popular Japanese biscuit snack brand known for its cream-filled sandwich cookies marketed as a nutritious treat for children.
-
B.
Bitchois
Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
-
C.
Chicolini
Chicolini is a bumbling, fast-talking character played by Chico Marx in the Marx Brothers film "Duck Soup," serving as a comic foil in the political satire.
-
D.
Bibemi
Bibemi is a town located in the North Region of Cameroon, known as a local administrative and trading center in the area.
-
E.
Pocky
Pocky is a popular Japanese snack consisting of thin biscuit sticks coated in flavored chocolate or other sweet coatings.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d88af6d88190ac9faa32fa1bfa0e |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7428b2fe88190ac1798922e2b9620 |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:21 p.m.