Triple
T12935520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremiah Day |
E309496
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeremiah Day |
E309496
|
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: Jeremiah Day | Statement: [Jeremiah Day, name, Jeremiah Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremiah Day Context triple: [Jeremiah Day, name, Jeremiah Day]
-
A.
Jeremiah Day
chosen
Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
-
B.
Jeremiah Biggs
Jeremiah Biggs is the son of Reverend Henry Biggs, a clergyman known in his community for his religious leadership.
-
C.
Jedediah Purdy
Jedediah Purdy is an American legal scholar and writer known for his work on democracy, environmental politics, and political economy.
-
D.
Jeremiah Rust
Jeremiah Rust was a prominent local figure in Virginia whose legacy is commemorated by having the town of Rustburg named in his honor.
-
E.
Gilmor Brown
Gilmor Brown was an American theater director and producer best known as the visionary founder and longtime guiding force of the Pasadena Playhouse.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc76d688190bd58a23351373666 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6d16388190abc848ac67bf1fb9 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:42 p.m.