Triple
T2594030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argersinger v. Hamlin |
E58186
|
entity |
| Predicate | respondent |
P2238
|
FINISHED |
| Object | Hamlin |
E60810
|
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: Hamlin | Statement: [Argersinger v. Hamlin, respondent, Hamlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamlin Context triple: [Argersinger v. Hamlin, respondent, Hamlin]
-
A.
Hamlin
chosen
Hamlin is a surname most notably associated with Hannibal Hamlin, who served as vice president of the United States under Abraham Lincoln during the Civil War.
-
B.
Corwin
Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
-
C.
Harlan
Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
-
D.
Eldred
Eldred is the lesser-known first name of the acclaimed American actor Gregory Peck, a major star of classic Hollywood cinema.
-
E.
Justice Smith
Justice Smith is an American actor known for roles in projects such as "The Get Down," "Jurassic World: Fallen Kingdom," and "Detective Pikachu."
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd427f58c8190af1c1a9724158c96 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83bee4908190b5e446ddbf4e8889 |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:49 p.m.