Triple
T21740300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Howard |
E536638
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Thomas Jefferson |
—
|
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: Thomas Jefferson | Statement: [Ken Howard, playedCharacter, Thomas Jefferson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Jefferson Context triple: [Ken Howard, playedCharacter, Thomas Jefferson]
-
A.
Thomas Jefferson
chosen
Thomas Jefferson was the third president of the United States, principal author of the Declaration of Independence, and a leading figure of early American political and intellectual life.
-
B.
M. Jefferson
M. Jefferson is an author known for contributing written works to the publication "Wetter."
-
C.
Jefferson
Jefferson is a small rural community located within Cardston County in southern Alberta, Canada.
-
D.
Jefferson
Jefferson is the first name of Jefferson Davis, a Marvel Comics character best known as the father of Miles Morales, one of the heroes to take on the Spider-Man mantle.
-
E.
Jefferson
Jefferson is the fictional Mississippi town that serves as the central setting in many of William Faulkner’s Yoknapatawpha County stories and novels.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a714c208190b96efe23ed3bf0db |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.