Triple
T5101257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CODA |
E114984
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Ruby Rossi |
E423982
|
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: Ruby Rossi | Statement: [CODA, mainCharacter, Ruby Rossi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruby Rossi Context triple: [CODA, mainCharacter, Ruby Rossi]
-
A.
Ruby Rossi
chosen
Ruby Rossi is the teenage daughter of a deaf family and the musically gifted protagonist of the film "CODA," who struggles to balance her responsibilities at home with her aspirations to become a singer.
-
B.
Roberta Romano
Roberta Romano is a prominent American legal scholar known for her influential work on corporate law and governance, and for serving as a long-time professor at Yale Law School.
-
C.
Margherita Gerrardi
Margherita Gerrardi was one of the early wives of American actor Mickey Rooney, known primarily for her brief marriage to the Hollywood star.
-
D.
Laura Martinozzi
Laura Martinozzi was an Italian noblewoman and duchess of Modena, a niece of Cardinal Mazarin and a politically influential figure in 17th-century Italy.
-
E.
Marisa Polvino
Marisa Polvino is a film producer known for her work on major feature films, including the 2014 science fiction movie "Transcendence."
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7584ed408190a6d1086588f24faa |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec36d231481908da4d2df53bd6507 |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:40 p.m.