Triple
T8653474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misty Copeland |
E205154
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Clara in The Nutcracker |
E742464
|
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: Clara in The Nutcracker | Statement: [Misty Copeland, notableRole, Clara in The Nutcracker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara in The Nutcracker Context triple: [Misty Copeland, notableRole, Clara in The Nutcracker]
-
A.
Clara in The Nutcracker
chosen
Clara in *The Nutcracker* is the young heroine whose magical Christmas Eve journey with the Nutcracker Prince forms the heart of Tchaikovsky’s beloved ballet.
-
B.
Swanilda in Coppélia
Swanilda in Coppélia is the spirited village girl and central heroine of the comic ballet "Coppélia," known for her curiosity, wit, and playful impersonation of the life-sized doll.
-
C.
Nutcracker Prince
The Nutcracker Prince is the enchanted hero of the classic holiday ballet who leads Clara on a magical journey through battles and fantastical realms.
-
D.
Clara
Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
-
E.
Clara
Clara is a small Irish town located in County Offaly, known historically for its milling industry and proximity to the River Brosna.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484206d881908017897dada63124 |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccd1d7f88190a5440581325eac63 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:29 p.m.