Triple
T3112318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kominsky Method |
E64978
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Sarah Baker |
E327548
|
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: Sarah Baker | Statement: [The Kominsky Method, starring, Sarah Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Baker Context triple: [The Kominsky Method, starring, Sarah Baker]
-
A.
Sarah Baker
chosen
Sarah Baker is an American actress and comedian known for her work in television and film, including a prominent role on the Netflix series "The Kominsky Method."
-
B.
Sophie Baker
Sophie Baker is known as the wife of acclaimed English actor Ian Holm.
-
C.
Sarah Barnard
Sarah Barnard was the wife of renowned English scientist Michael Faraday, providing personal support throughout his career in 19th-century London.
-
D.
Sarah Eaves
Sarah Eaves was the partner and later wife of the renowned English printer and typographer John Baskerville, closely involved in his household and business affairs.
-
E.
Rosalie Booth
Rosalie Booth was a 19th-century American woman best known as a member of the prominent Booth theatrical family, which included several famous stage actors.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43b0b3c8190a828c9cfcf730ed9 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f5cfc7c8190b867794c0e9a271e |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.