Triple
T15533998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Magnolias |
E370295
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Sherryl Woods |
E1162376
|
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: Sherryl Woods | Statement: [Sweet Magnolias, executiveProducer, Sherryl Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherryl Woods Context triple: [Sweet Magnolias, executiveProducer, Sherryl Woods]
-
A.
Sherryl Woods
chosen
Sherryl Woods is an American author best known for her popular romance and women’s fiction novels, including the "Sweet Magnolias" series that inspired the Netflix television adaptation.
-
B.
Shelly Johnson
Shelly Johnson is an American cinematographer known for his work on major feature films and television projects.
-
C.
Karyn Parsons
Karyn Parsons is an American actress best known for playing the snobbish yet lovable Hilary Banks on the hit 1990s sitcom "The Fresh Prince of Bel-Air."
-
D.
Lynn Weslin
Lynn Weslin is a fictional character from the baseball comedy film "Major League."
-
E.
Cheryl Crabtree Walker
Cheryl Crabtree Walker is the mother of the late American actor Paul Walker, known for his role in the "Fast & Furious" film franchise.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414877d88190804ee76566004e13 |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff45549e4881908ab0769e49ba5dc4 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:06 a.m.