Triple
T21245587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnie Pearson Dow |
E523598
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dow |
—
|
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: Dow | Statement: [Minnie Pearson Dow, familyName, Dow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dow Context triple: [Minnie Pearson Dow, familyName, Dow]
-
A.
Dow
chosen
Dow is a surname most notably associated with Arthur Wesley Dow, an influential American painter, printmaker, and art educator of the late 19th and early 20th centuries.
-
B.
Dow Jones
Dow Jones is an American hip-hop and R&B record producer best known as one half of the production duo Tha Bizness.
-
C.
DuPont
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.
-
D.
Berkshire Hathaway
Berkshire Hathaway is a multinational conglomerate holding company based in the United States, best known for its diverse portfolio of wholly owned businesses and large equity investments overseen by Warren Buffett.
-
E.
Dow Chemical Company
Dow Chemical Company is a major American multinational chemical corporation known for producing a wide range of industrial, agricultural, and consumer chemical 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73599e5548190ad70d2c2bfa9e919 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:47 p.m.