Triple
T7672367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nala |
E173777
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Kion |
E677878
|
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: Kion | Statement: [Nala, parentOf, Kion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kion Context triple: [Nala, parentOf, Kion]
-
A.
Kion
chosen
Kion is a character in Disney's "The Lion Guard" series, known as the brave and level-headed leader of the Lion Guard and the son of Simba and Nala.
-
B.
Kuje
Kuje is a town and local government area located within Nigeria’s Federal Capital Territory, near the capital city of Abuja.
-
C.
Quin
Quin is a historic village in County Clare, Ireland, known for the ruins of Quin Abbey and its picturesque rural setting.
-
D.
Quin
Quin is a given name, often used as a variant of Quinn, that can function as a unisex first name or surname.
-
E.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701de94208190a7627521211452dc |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a22f74f481909498391bfaf23428 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4 p.m.