Triple
T22753778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Wolfe |
E562779
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jane Wolfe |
—
|
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: Jane Wolfe | Statement: [Jane Wolfe, name, Jane Wolfe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Wolfe Context triple: [Jane Wolfe, name, Jane Wolfe]
-
A.
Jane Wolfe
chosen
Jane Wolfe was an American silent film actress best known for her early 20th-century screen roles and later association with occultist Aleister Crowley.
-
B.
Rosemary Wolff
Rosemary Wolff is the mother of American memoirist and novelist Tobias Wolff, known from his autobiographical work "This Boy's Life."
-
C.
Ann Wolfe
Ann Wolfe is a former American professional boxer renowned for her formidable punching power and multiple world titles across several weight classes.
-
D.
Amy Lindley
Amy Lindley is a fictional character from the television series "Dawson's Creek," known as the daughter of Jen Lindley.
-
E.
Beth Willman
Beth Willman is an American astronomer known for her work on faint dwarf galaxies and the structure of the Milky Way’s satellite system.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bb80ac8190b53a1e00704c4ff5 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.