Triple
T14043395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachael Yamagata |
E337899
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rachael Yamagata |
E337899
|
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: Rachael Yamagata | Statement: [Rachael Yamagata, name, Rachael Yamagata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachael Yamagata Context triple: [Rachael Yamagata, name, Rachael Yamagata]
-
A.
Rachael Yamagata
chosen
Rachael Yamagata is an American singer-songwriter and pianist known for her soulful, melancholic indie pop and folk-influenced music.
-
B.
Nita Talbot
Nita Talbot is an American actress known for her sharp-witted supporting roles in film and television, including a notable Emmy-nominated performance on the sitcom "Hogan's Heroes."
-
C.
Ann Rork
Ann Rork was an American silent film actress and socialite best known for her roles in 1920s cinema and her later marriage to oil tycoon J. Paul Getty.
-
D.
Mara Vanderslice
Mara Vanderslice is an American faith-based political strategist known for her work engaging religious communities in progressive politics and public policy.
-
E.
Emily Sweeney
Emily Sweeney is a dermatologist who appears as Rajesh Koothrappali’s love interest on the television sitcom "The Big Bang Theory."
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc33f79a88190999978d7f34632cd |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.