Triple
T11541533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney's Extreme Skate Adventure |
E273686
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Nala |
E173777
|
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: Nala | Statement: [Disney's Extreme Skate Adventure, featuresCharacter, Nala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nala Context triple: [Disney's Extreme Skate Adventure, featuresCharacter, Nala]
-
A.
Nala
chosen
Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
-
B.
Nala
Nala is a legendary king in Hindu mythology, renowned for his righteousness, skill with horses, and central role in the love story of Nala and Damayanti in the Mahabharata.
-
C.
Sheba
Sheba is a biblical figure traditionally associated with a people or kingdom in the ancient Near East, often linked to the famed Queen of Sheba.
-
D.
Faline
Faline is a young doe in Disney's animated film "Bambi," known as Bambi's childhood friend and later his mate.
-
E.
Nala Se
Nala Se is a Kaminoan scientist and chief medical officer known for overseeing the cloning program in the Star Wars universe, particularly in relation to the Clone Army and experimental projects.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685ab77908190ac5d59cf2b8c96bf |
completed | April 20, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:37 p.m.