Triple
T7672417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lion King 1½ |
E173778
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Mufasa |
E173776
|
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: Mufasa | Statement: [The Lion King 1½, featuresCharacter, Mufasa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mufasa Context triple: [The Lion King 1½, featuresCharacter, Mufasa]
-
A.
Mufasa
chosen
Mufasa is the wise and noble lion king of the Pride Lands and father of Simba in Disney's The Lion King.
-
B.
Mufasa's pride
Mufasa's pride is the royal lion family and their close kin who rule and protect the Pride Lands in Disney's The Lion King.
-
C.
Simba
Simba is the lion prince who becomes king in Disney's animated film "The Lion King," known for his journey from guilt-ridden exile to courageous leader.
-
D.
Simba
Simba is the stage name of Tanzanian singer and songwriter Diamond Platnumz, a leading figure in contemporary Bongo Flava and East African pop music.
-
E.
Shenzi
Shenzi is a cunning hyena and one of the primary antagonists in Disney's "The Lion King," known for serving as a key henchman to Scar.
- 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_69c91b1bd9148190931ce1a2a42f729b |
completed | March 29, 2026, 12:29 p.m. |
Created at: March 27, 2026, 4 p.m.