Triple
T18253584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John B. Ford |
E437161
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | PPG Industries |
—
|
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: PPG Industries | Statement: [John B. Ford, associatedWith, PPG Industries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PPG Industries Context triple: [John B. Ford, associatedWith, PPG Industries]
-
A.
PPG Industries
chosen
PPG Industries is a global American company specializing in paints, coatings, and specialty materials for industrial, commercial, and consumer markets.
-
B.
PPG
PPG is the IATA airport code for Pago Pago International Airport, the main air gateway to American Samoa.
-
C.
Sherwin-Williams Company
Sherwin-Williams Company is a major American paint and coatings manufacturer and retailer known for its extensive line of architectural and industrial finishes sold worldwide.
-
D.
Rohm and Haas
Rohm and Haas is a specialty chemicals company known for producing advanced materials and chemical products used in coatings, electronics, and industrial applications.
-
E.
Nalco Company
Nalco Company is a global water treatment and process improvement firm known for producing industrial chemicals, including the oil spill dispersant Corexit 9500A.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd82f81c81909ad4455954bd8caa |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.