Triple
T9366997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanette Fabray |
E225425
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Shelley Fabares |
E384600
|
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: Shelley Fabares | Statement: [Nanette Fabray, relative, Shelley Fabares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelley Fabares Context triple: [Nanette Fabray, relative, Shelley Fabares]
-
A.
Shelley Fabares
chosen
Shelley Fabares is an American actress and singer best known for her roles in the TV series "The Donna Reed Show" and "Coach," as well as for her 1960s pop hit "Johnny Angel."
-
B.
Shelley Considine
Shelley Considine is the wife of English actor and filmmaker Paddy Considine, known for maintaining a largely private life outside of her husband's public career.
-
C.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
D.
Shera Danese
Shera Danese is an American actress best known for her frequent guest appearances on the television series "Columbo" and for being the longtime wife of actor Peter Falk.
-
E.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5042c89c8190994b12cf7600c366 |
completed | April 1, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18205237c8190a6e7b4009b512d6d |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:43 p.m.