Triple
T2952175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lubrizol |
E79843
|
entity |
| Predicate | notableBrand |
P1500
|
FINISHED |
| Object |
TempRite
TempRite is a Lubrizol brand known for its advanced CPVC (chlorinated polyvinyl chloride) resins and compounds used in high-performance piping and industrial applications.
|
E313835
|
NE FINISHED |
How this triple was built (4 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: TempRite | Statement: [Lubrizol, notableBrand, TempRite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TempRite Context triple: [Lubrizol, notableBrand, TempRite]
-
A.
Modine
Modine is the surname of American actor Matthew Modine, known for his roles in films like "Full Metal Jacket" and the series "Stranger Things."
-
B.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
C.
Blodgett
Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
-
D.
Danby
Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
-
E.
Danby
Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TempRite Triple: [Lubrizol, notableBrand, TempRite]
Generated description
TempRite is a Lubrizol brand known for its advanced CPVC (chlorinated polyvinyl chloride) resins and compounds used in high-performance piping and industrial applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TempRite Target entity description: TempRite is a Lubrizol brand known for its advanced CPVC (chlorinated polyvinyl chloride) resins and compounds used in high-performance piping and industrial applications.
-
A.
Modine
Modine is the surname of American actor Matthew Modine, known for his roles in films like "Full Metal Jacket" and the series "Stranger Things."
-
B.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
C.
Blodgett
Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
-
D.
Danby
Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
-
E.
Danby
Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
- F. None of above. chosen
Provenance (5 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fcea5c8190b7d80de942bcb4f7 |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc7edc808190863ec8f99efa3875 |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b0fd7d1cc88190a4f533a92d7e6de3 |
completed | March 11, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0fde74b608190b59da720c90adfeb |
completed | March 11, 2026, 5:30 a.m. |
Created at: March 8, 2026, 2:57 p.m.