Triple
T12826763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessie Harte |
E306671
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jessie Harte |
E306671
|
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: Jessie Harte | Statement: [Jessie Harte, name, Jessie Harte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessie Harte Context triple: [Jessie Harte, name, Jessie Harte]
-
A.
Jessie Harte
chosen
Jessie Harte was a child of the American author and poet Bret Harte, known primarily in relation to her father's literary legacy.
-
B.
Jessie Nunn
Jessie Nunn is the daughter of English actress and writer Imogen Stubbs.
-
C.
Jessie Deighan
Jessie Deighan is a character from the action film "Cliffhanger," serving as a close ally and love interest of mountain climber Gabe Walker.
-
D.
Jessie Ashley
Jessie Ashley was an early 20th-century American feminist, labor lawyer, and suffrage activist known for her work advancing women’s rights and social justice.
-
E.
Jessie Gallup
Jessie Gallup was a collaborator and co-author who worked alongside pioneering pollster George Gallup, contributing to early public opinion research.
- 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_69f68ed4f7388190ba989b8a79bd7c6d |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:33 p.m.