Triple
T9653042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofia the First |
E233381
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Fauna |
E340805
|
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: Fauna | Statement: [Sofia the First, hasCharacter, Fauna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fauna Context triple: [Sofia the First, hasCharacter, Fauna]
-
A.
Fauna
Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
-
B.
Fauna
chosen
Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
-
C.
Megafaun
Megafaun is an American experimental folk band known for its eclectic blend of folk, psychedelic, and improvisational music, formed by former members of DeYarmond Edison.
-
D.
Aloisia
Aloisia is a feminine given name, used as an alternative spelling of Aloysia and related to names like Aloysius and Louise.
-
E.
Budorcas
Budorcas is a genus of large, goat-antelope-like mammals best known for the takin, a robust, shaggy ungulate native to the mountainous regions of Asia.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb26b748190bc32e2003829b0ec |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18270dee481909c8d2de1fafdaf5b |
completed | April 4, 2026, 9:28 p.m. |
Created at: March 30, 2026, 8:13 p.m.