Triple
T22133344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Over the Moon |
E546961
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Ruthie Ann Miles |
—
|
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: Ruthie Ann Miles | Statement: [Over the Moon, voiceActor, Ruthie Ann Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruthie Ann Miles Context triple: [Over the Moon, voiceActor, Ruthie Ann Miles]
-
A.
Ruthie Ann Miles
chosen
Ruthie Ann Miles is a Tony Award–winning American actress and singer known for her work in musical theatre, television, and film.
-
B.
Daphne Rubin-Vega
Daphne Rubin-Vega is a Panamanian-American actress and singer best known for originating the role of Mimi Márquez in the groundbreaking Broadway musical Rent.
-
C.
Shoshana Bean
Shoshana Bean is an American singer and Broadway performer known for her powerful vocals and roles in shows like Wicked and Waitress.
-
D.
Sylvia Miles
Sylvia Miles was an American actress best known for her Oscar-nominated supporting role as a jaded New York socialite in the film "Midnight Cowboy."
-
E.
Laura Benét
Laura Benét was an American writer and poet known for her biographies and historical works for young readers, and as a member of the literary Benét family.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129b81d5c819085fd18bf3ae28333 |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.