Triple
T1321972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Day |
E28237
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thomas Day |
E28237
|
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 Day | Statement: [Thomas Day, name, Thomas Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Day Context triple: [Thomas Day, name, Thomas Day]
-
A.
Thomas Day
chosen
Thomas Day was an 18th-century British author and radical thinker best known for his didactic children's book "The History of Sandford and Merton" and his involvement in Enlightenment and reformist circles.
-
B.
De Witt
De Witt is a Dutch surname most famously associated with Johan de Witt, a prominent 17th-century statesman of the Dutch Republic.
-
C.
Winfield
Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
-
D.
Ogden Rood
Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
-
E.
John Hardin
John Hardin was an American frontiersman and soldier of the late 18th century, known for his role in early Kentucky and Ohio Valley conflicts and for whom Hardin County, Kentucky, is named.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19b76b48190aa8857b80971a842 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaf6a6d08190b8a30c2c64f15f59 |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:55 p.m.