Triple
T23329269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith Jerrod |
E591395
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object | Candace Bushnell |
—
|
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: Candace Bushnell | Statement: [Smith Jerrod, basedOnWorkBy, Candace Bushnell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candace Bushnell Context triple: [Smith Jerrod, basedOnWorkBy, Candace Bushnell]
-
A.
Candace Bushnell
chosen
Candace Bushnell is an American author and columnist best known for writing the book "Sex and the City," which inspired the iconic television series.
-
B.
Jodi Katz
Jodi Katz is a vocalist known for performing with the symphonic rock group Trans-Siberian Orchestra.
-
C.
Amy Brookheimer
Amy Brookheimer is a fiercely ambitious and hyper-competent political operative who serves as Selina Meyer’s closest aide and strategist in the television series "Veep."
-
D.
Jillian Kugler
Jillian Kugler is a television producer best known for her executive production work on the series "Hand of God."
-
E.
Lauren Weisberger
Lauren Weisberger is an American novelist best known for writing the bestselling fashion-world satire "The Devil Wears Prada," which was adapted into a popular film.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197ec22a481908247f5f86acb6ab4 |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:14 p.m.