Triple
T1717268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DuPont |
E37316
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | DuPont Tyvek |
E192837
|
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 Tyvek | Statement: [DuPont, hasBrand, DuPont Tyvek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DuPont Tyvek Context triple: [DuPont, hasBrand, DuPont Tyvek]
-
A.
Tyvek
chosen
Tyvek is a durable, lightweight, synthetic material widely used for protective garments, packaging, and weather-resistant building wraps.
-
B.
DuPont Tedlar
DuPont Tedlar is a durable polyvinyl fluoride (PVF) film widely used for protective and decorative surface applications in industries such as construction, photovoltaics, and transportation.
-
C.
Nomex
Nomex is a high-performance, flame-resistant aramid fiber widely used in protective clothing and industrial applications for its heat and fire resistance.
-
D.
Teflon
Teflon is a synthetic fluoropolymer best known for its nonstick, heat-resistant coating used on cookware and in various industrial applications.
-
E.
Nylon
Nylon is a family of synthetic polymers widely used as strong, lightweight fibers and plastics in textiles, engineering components, and consumer products.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63362ba481909e08e9f6fbf00b37 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d3a1508190bf05aa45e9966c49 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.