Triple
T12826767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessie Harte |
E306671
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harte |
E305288
|
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: Harte | Statement: [Jessie Harte, familyName, Harte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harte Context triple: [Jessie Harte, familyName, Harte]
-
A.
Harte
chosen
Harte is a surname most famously associated with American author Bret Harte, known for his stories about the California Gold Rush.
-
B.
Haggard
Haggard is a surname most famously associated with American country music legend Merle Haggard.
-
C.
Haardt
Haardt is a district of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany, known for its scenic location along the German Wine Route and proximity to the Palatinate Forest.
-
D.
Rinehart
Rinehart is a small unincorporated community located in the U.S. state of Missouri.
-
E.
Argus of Western America
Argus of Western America was a 19th-century American newspaper associated with journalist and politician Amos Kendall.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fae51608190a50970bd038359a5 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5466d988190ae0df2f4058287a1 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:33 p.m.