Triple
T4758445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faunus |
E105643
|
entity |
| Predicate | spouseOrConsort |
P13
|
FINISHED |
| Object |
Fauna
Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
|
E466765
|
NE FINISHED |
How this triple was built (4 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: [Faunus, spouseOrConsort, Fauna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fauna Context triple: [Faunus, spouseOrConsort, Fauna]
-
A.
Fauna
Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
-
B.
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.
-
C.
Aloisia
Aloisia is a feminine given name, used as an alternative spelling of Aloysia and related to names like Aloysius and Louise.
-
D.
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.
-
E.
Seba
Seba is a common short form or nickname for the given name Sebastián, frequently used in Spanish-speaking countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fauna Triple: [Faunus, spouseOrConsort, Fauna]
Generated description
Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fauna Target entity description: Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
-
A.
Fauna
Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
-
B.
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.
-
C.
Aloisia
Aloisia is a feminine given name, used as an alternative spelling of Aloysia and related to names like Aloysius and Louise.
-
D.
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.
-
E.
Seba
Seba is a common short form or nickname for the given name Sebastián, frequently used in Spanish-speaking countries.
- F. None of above. chosen
Provenance (5 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650c11f4819098cd1f490f711dc8 |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a77eb848190877eb5e15c7e6b0c |
completed | March 21, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69be3c5d30f881908ccb37e26a3395f4 |
completed | March 21, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3d0aa1d48190a2af91d251cb5561 |
completed | March 21, 2026, 6:39 a.m. |
Created at: March 20, 2026, 1:20 p.m.