Triple
T10140174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Schön |
E226960
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nancy Schön |
E226960
|
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: Nancy Schön | Statement: [Nancy Schön, name, Nancy Schön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Schön Context triple: [Nancy Schön, name, Nancy Schön]
-
A.
Nancy Schön
chosen
Nancy Schön is an American sculptor best known for her beloved public bronze sculptures, including the iconic "Make Way for Ducklings" installation in Boston.
-
B.
Nancy Schafer
Nancy Schafer is a film and television producer known for her work on independent and documentary projects.
-
C.
Nancy Wyman
Nancy Wyman is an American Democratic politician who served as the 108th lieutenant governor of Connecticut and previously chaired the state’s Democratic Party.
-
D.
Nancy Hoffman
Nancy Hoffman is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Hoffman.
-
E.
Rosalyn Rosenfeld
Rosalyn Rosenfeld is a volatile, manipulative housewife and the unpredictable wife of con artist Irving Rosenfeld in the film "American Hustle."
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdeb2425008190a92c5148ed703d5c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c559910819092b0eae9c05aa7dc |
completed | April 9, 2026, 3:26 a.m. |
Created at: March 30, 2026, 9:07 p.m.