Triple
T8245490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mylar |
E192839
|
entity |
| Predicate | trademarkOf |
P5664
|
FINISHED |
| Object | DuPont Teijin Films |
E37316
|
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: DuPont Teijin Films | Statement: [Mylar, trademarkOf, DuPont Teijin Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DuPont Teijin Films Context triple: [Mylar, trademarkOf, DuPont Teijin Films]
-
A.
Invista
Invista is a global manufacturer of polymers and fibers, best known for producing materials used in textiles, carpets, and industrial applications.
-
B.
Celanese Corporation
Celanese Corporation is a global specialty materials and chemical company known for producing engineered materials, acetyl products, and other advanced polymers for industrial and consumer applications.
-
C.
SABIC
SABIC is a major Saudi-based global petrochemicals and plastics manufacturer known as one of the world’s largest chemical companies.
-
D.
DuPont
chosen
DuPont is a major American chemical company historically known for pioneering materials science innovations and playing a key role in U.S. industrial and wartime production.
-
E.
Toray Composites (America)
Toray Composites (America) is a leading U.S.-based manufacturer of advanced carbon fiber composite materials widely used in the aerospace and aviation industries.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7872f6d481909ea1d3c2aad1a2b1 |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd352b1a288190bd13ef84bef7fa1c |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:48 p.m.