Triple
T3249108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty |
E68133
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Fauna
Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
|
E340805
|
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: [Sleeping Beauty, mainCharacter, Fauna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fauna Context triple: [Sleeping Beauty, mainCharacter, Fauna]
-
A.
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.
-
B.
Aloisia
Aloisia is a feminine given name, used as an alternative spelling of Aloysia and related to names like Aloysius and Louise.
-
C.
Agnus
Agnus is the custom chip in early Commodore Amiga computers responsible for managing graphics, memory access, and DMA operations within the system’s chipset.
-
D.
Ratufa
Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
-
E.
Matangi
Matangi is the third studio album by British-Sri Lankan artist M.I.A., blending experimental electronic, hip hop, and world music influences with politically charged and spiritual themes.
- 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: [Sleeping Beauty, mainCharacter, Fauna]
Generated description
Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fauna Target entity description: Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
-
A.
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.
-
B.
Aloisia
Aloisia is a feminine given name, used as an alternative spelling of Aloysia and related to names like Aloysius and Louise.
-
C.
Agnus
Agnus is the custom chip in early Commodore Amiga computers responsible for managing graphics, memory access, and DMA operations within the system’s chipset.
-
D.
Ratufa
Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
-
E.
Matangi
Matangi is the third studio album by British-Sri Lankan artist M.I.A., blending experimental electronic, hip hop, and world music influences with politically charged and spiritual themes.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf3fc3c8819080ac95974581ca0e |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2776934108190ac405ba5ebd47084 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27c2c16188190af03674ead3944de |
completed | March 12, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27ca63b1c8190ac6f67aef6d2c7e1 |
completed | March 12, 2026, 8:43 a.m. |
Created at: March 8, 2026, 3:09 p.m.