Triple
T11983357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raya and the Last Dragon |
E285212
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sisu |
E958213
|
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: Sisu | Statement: [Raya and the Last Dragon, mainCharacter, Sisu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sisu Context triple: [Raya and the Last Dragon, mainCharacter, Sisu]
-
A.
Sisu
chosen
Sisu is a magical water dragon from Disney's animated film "Raya and the Last Dragon," known for her playful personality and pivotal role in restoring harmony to her world.
-
B.
Sukeva
Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
-
C.
Karusha
Karusha is a figure in Hindu mythology known as one of the sons of Shraddhadeva Manu, associated with the lineage of ancient kings.
-
D.
Juhu
Juhu is a prominent coastal suburb of Mumbai, India, best known for its long sandy beach, upscale residential areas, and vibrant entertainment and tourism scene.
-
E.
Susitnu
Susitnu is the Indigenous (Dena’ina) name for Alaska’s Susitna River, a major waterway in south-central Alaska.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48aa73458819097a69b371350743c |
completed | May 1, 2026, 11:12 a.m. |
Created at: April 8, 2026, 9:46 p.m.