Triple
T14837267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molten basketball |
E348863
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Molten GL7 |
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 GL7 | Statement: [Molten basketball, hasModel, Molten GL7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molten GL7 Context triple: [Molten basketball, hasModel, Molten GL7]
-
A.
Melter
Melter is a Marvel Comics supervillain known primarily as an enemy of Iron Man and a recurring member of villainous teams.
-
B.
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.
-
C.
Meteor T.7
The Meteor T.7 is a two-seat trainer version of the British Gloster Meteor jet fighter, used primarily for pilot instruction and conversion training.
-
D.
SA-17 Grizzly
SA-17 Grizzly is the NATO reporting name for a Russian-made, medium-range, mobile surface-to-air missile system designed to engage aircraft, cruise missiles, and other aerial threats.
-
E.
Migrol
Migrol is a Swiss energy and fuel company best known for operating a nationwide network of petrol stations and heating oil services as part of the Migros Group.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28d0ddc8190a34e3e2d469ab762 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a813b881908a71350073c8fc5c |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.