Triple
T20390652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moon Bloodgood |
E498074
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Korinna |
—
|
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: Korinna | Statement: [Moon Bloodgood, givenName, Korinna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korinna Context triple: [Moon Bloodgood, givenName, Korinna]
-
A.
Corinna
chosen
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
B.
Kassanda
Kassanda is a district in central Uganda that forms part of the traditional kingdom of Buganda.
-
C.
Arinae
Arinae is a subfamily of New World parrots that includes many colorful, medium-sized species such as amazons, macaws, and conures.
-
D.
Eleonas
Eleonas is a district in the western part of Athens, Greece, historically known for its olive groves and now characterized by mixed industrial and urban development.
-
E.
Almirena
Almirena is a central soprano role in George Frideric Handel’s opera "Rinaldo," portrayed as the virtuous and beloved daughter of the Christian leader Goffredo.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.