Triple
T2187641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Pryor |
E49186
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Shelley Bonus |
E49203
|
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: Shelley Bonus | Statement: [Richard Pryor, spouse, Shelley Bonus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelley Bonus Context triple: [Richard Pryor, spouse, Shelley Bonus]
-
A.
Shelley Bonus
chosen
Shelley Bonus is an American photographer and former spouse of comedian Richard Pryor, known for her work documenting the entertainment and cultural scenes.
-
B.
Shelley
Shelley is the surname of Mary Shelley, the English novelist best known as the author of the Gothic classic "Frankenstein."
-
C.
William Shelley
William Shelley was the son of Romantic poet Percy Bysshe Shelley and his first wife, Harriet Westbrook.
-
D.
The Poet
The Poet is a reflective, storytelling character in Henry Wadsworth Longfellow’s narrative poem collection "Tales of a Wayside Inn," representing the voice of the poet among the gathered guests.
-
E.
The Poet
"The Poet" is a seminal essay by Ralph Waldo Emerson that explores the nature, role, and visionary power of the poet in society and in expressing universal truths.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf130ef081908adb4a22f056be5b |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dada268819082ddc4acd58e19f3 |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:45 p.m.