Triple
T6739420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodi Picoult |
E154037
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Jodi Lynn Picoult |
E154037
|
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: Jodi Lynn Picoult | Statement: [Jodi Picoult, fullName, Jodi Lynn Picoult]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jodi Lynn Picoult Context triple: [Jodi Picoult, fullName, Jodi Lynn Picoult]
-
A.
Jodi Picoult
chosen
Jodi Picoult is a bestselling American author known for her emotionally charged novels that tackle complex moral and social issues.
-
B.
Chris Bohjalian
Chris Bohjalian is an American novelist known for his bestselling psychological and literary thrillers, several of which have been adapted for film and television.
-
C.
Kathryn Stockett
Kathryn Stockett is an American novelist best known for her bestselling debut novel "The Help," which explores race relations and domestic life in 1960s Mississippi.
-
D.
Sara Gruen
Sara Gruen is a Canadian-American novelist best known for her bestselling historical novel "Water for Elephants."
-
E.
Ann Patchett
Ann Patchett is an acclaimed American novelist and essayist known for works such as "Bel Canto" and "The Dutch House," celebrated for her nuanced character studies and elegant prose.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d187c8788190b9fc1ebc9a66a520 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0db3f481909b5281c63cc32dd1 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.