Triple
T7738157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Jervas |
E175434
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Thomas Frye |
E449870
|
NE FINISHED |
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: Thomas Frye | Statement: [Charles Jervas, notableStudent, Thomas Frye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Frye Context triple: [Charles Jervas, notableStudent, Thomas Frye]
-
A.
Thomas Frye
chosen
Thomas Frye was an 18th-century Irish-born artist and entrepreneur best known for co-founding the Bow porcelain factory and for his influential mezzotint portraits.
-
B.
Christian Van Dyke
Christian Van Dyke is one of the children of legendary American actor and entertainer Dick Van Dyke.
-
C.
Edward Cooke
Edward Cooke is a name shared by several notable individuals, including historical figures in law, politics, and academia.
-
D.
Samuel Mather
Samuel Mather was a 17th-century New England Puritan minister and writer, known as a member of the influential Mather family of colonial Boston.
-
E.
Samuel Mather
Samuel Mather was a prominent Cleveland industrialist and philanthropist from the influential Mather family, known for his major role in the Great Lakes shipping and iron ore industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035a97688190bf93efeee2e365ec |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be3db6a481909750c13f9141b84b |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:07 p.m.