Triple
T18068739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosalyn Rosenfeld |
E432362
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Sydney Prosser |
—
|
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: Sydney Prosser | Statement: [Rosalyn Rosenfeld, associatedWith, Sydney Prosser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydney Prosser Context triple: [Rosalyn Rosenfeld, associatedWith, Sydney Prosser]
-
A.
Sydney Prosser
chosen
Sydney Prosser is a savvy, ambitious con artist and the sophisticated love interest of Christian Bale’s character in the crime film "American Hustle."
-
B.
Sydney Bagshaw
Sydney Bagshaw was the designer responsible for creating the official coat of arms of Saint Lucia.
-
C.
Adelaide Coulson
Adelaide Coulson is an actress known for playing Judith Grimes in the television series "The Walking Dead."
-
D.
Adelaide Wilson
Adelaide Wilson is the central protagonist of Jordan Peele's horror film "Us," a woman haunted by a traumatic childhood encounter who faces a terrifying doppelgänger invasion.
-
E.
Emily Sargent
Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccebff748190b41d2edd93994c67 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.