Triple
T20540513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy W. Uihlein |
E504316
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Lubrizol |
—
|
NE NERFINISHED |
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: Lubrizol | Statement: [Roy W. Uihlein, coFounded, Lubrizol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lubrizol Context triple: [Roy W. Uihlein, coFounded, Lubrizol]
-
A.
Lubrizol
chosen
Lubrizol is a specialty chemicals company best known for producing additives and advanced materials used in lubricants, personal care products, and industrial applications.
-
B.
Lanxess
Lanxess is a German specialty chemicals company known for producing high-performance plastics, rubber, and chemical intermediates for various industrial applications.
-
C.
Clariant
Clariant is a Swiss-based specialty chemicals company known for producing a wide range of chemical products for industries such as plastics, coatings, agriculture, and personal care.
-
D.
Chemours
Chemours is a U.S.-based chemical company known for producing performance chemicals and advanced materials, including the nonstick coating brand Teflon.
-
E.
BASF
BASF is a major German chemical company and one of the world's largest producers of chemicals and related products.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a29224f081908298d104161c5bb9 |
completed | April 20, 2026, 10:02 p.m. |
Created at: April 16, 2026, 11:37 a.m.