Triple
T12968015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley Fischer |
E321318
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Rhoda Fischer |
E321318
|
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: Rhoda Fischer | Statement: [Stanley Fischer, spouse, Rhoda Fischer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhoda Fischer Context triple: [Stanley Fischer, spouse, Rhoda Fischer]
-
A.
Rhoda Fischer
chosen
Rhoda Fischer is the wife of prominent economist and former central banker Stanley Fischer.
-
B.
Rhoda Morgenstern
Rhoda Morgenstern is a sharp-witted, self-deprecating New Yorker and Mary Richards’ best friend, who became one of television’s most beloved sitcom characters and later the star of her own spin-off series, Rhoda.
-
C.
Rhoda Makoff
Rhoda Makoff is an educator best known for founding Crossroads School, an independent progressive school in Santa Monica, California.
-
D.
Esther Bubley
Esther Bubley was an American documentary photographer best known for her intimate, human-centered images of everyday life in mid-20th-century America, particularly during and after World War II.
-
E.
Rhoda Griffis
Rhoda Griffis is an American actress known for her supporting roles in films and television, including the comedy heist movie "Masterminds."
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e3f702481908f0f90f4f12d3f4d |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b96f72881909090691e99bb2425 |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 8:32 p.m.