Triple
T20166671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misty Upham |
E491840
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Misty Upham |
—
|
NE NERFINISHED |
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: Misty Upham | Statement: [Misty Upham, name, Misty Upham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misty Upham Context triple: [Misty Upham, name, Misty Upham]
-
A.
Misty Upham
chosen
Misty Upham was a Native American actress best known for her acclaimed performances in films such as "Frozen River" and "August: Osage County."
-
B.
Bridget Bedard
Bridget Bedard is a television writer and producer best known for her work on acclaimed series such as Ramy and Transparent.
-
C.
Renee Ribble
Renee Ribble is a musician best known as a member of the alternative rock band Concrete Blonde.
-
D.
Melissa Gimble
Melissa Gimble is one of the central protagonists of the musical comedy series "Schmigadoon!", a modern woman who finds herself trapped in a fantastical, Golden Age-style musical town.
-
E.
Rachel Nichols
Rachel Nichols is an American actress known for her roles in films like "G.I. Joe: The Rise of Cobra" and the TV series "Continuum."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66844e49081909b7e9ec2b65cc61d |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.