Triple
T6722485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molten |
E153428
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Molten USA |
E153428
|
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: Molten USA | Statement: [Molten, hasSubsidiary, Molten USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molten USA Context triple: [Molten, hasSubsidiary, Molten USA]
-
A.
Molten
chosen
Molten is a Japanese sports equipment manufacturer best known for producing high-quality balls used in major international competitions across football, basketball, and other sports.
-
B.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
C.
Marval
Marval is an actor known for appearing in the landmark 1929 surrealist film "Un Chien Andalou," directed by Luis Buñuel and co-written with Salvador Dalí.
-
D.
Uspantek
Uspantek is a Mayan language spoken by the Uspanteko people in the highlands of Guatemala.
-
E.
Petawawa
Petawawa is a town in eastern Ontario, Canada, known for its large Canadian Forces base and proximity to the Ottawa River and Algonquin Provincial Park.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d139d50c81908b19120f139deaa5 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700a14ebc819092cc40f522540f1a |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:08 p.m.