Triple
T19701358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathaniel Jarvis Wyeth |
E473103
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wyeth |
—
|
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: Wyeth | Statement: [Nathaniel Jarvis Wyeth, familyName, Wyeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyeth Context triple: [Nathaniel Jarvis Wyeth, familyName, Wyeth]
-
A.
Wyeth
chosen
Wyeth was a major American pharmaceutical and biotechnology company known for developing vaccines, prescription drugs, and consumer healthcare products before being acquired by Pfizer.
-
B.
Whitakers
Whitakers is a small town located in Edgecombe County, North Carolina, known for its rural character and historic ties to the region’s agricultural economy.
-
C.
Kensett
Kensett is the surname of John Frederick Kensett, a prominent 19th-century American landscape painter associated with the Hudson River School.
-
D.
Abbott
Abbott is a masculine given name of English origin, historically associated with clerical or religious roles.
-
E.
Abbott
Abbott is a common English surname borne by numerous notable individuals across fields such as politics, entertainment, science, and business.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b667908190841bb5fb7bfdb3f7 |
completed | April 20, 2026, 3:13 p.m. |
Created at: April 10, 2026, 1:46 p.m.