Triple
T7643842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pride Lands |
E173072
|
entity |
| Predicate | ruledBy |
P3022
|
FINISHED |
| Object |
Kiara and Kovu
Kiara and Kovu are the lion king and queen of the Pride Lands in Disney’s The Lion King franchise, uniting formerly rival prides through their leadership and relationship.
|
E677888
|
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: Kiara and Kovu | Statement: [Pride Lands, ruledBy, Kiara and Kovu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiara and Kovu Context triple: [Pride Lands, ruledBy, Kiara and Kovu]
-
A.
Nala
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.
Luna the Wolf
Luna the Wolf is the costumed wolf mascot representing the athletic teams and school spirit of the University of Nevada, Reno.
-
D.
Kisha
"Kisha" is a track from Lil Wayne’s debut studio album "Tha Block Is Hot," showcasing his early Southern hip-hop style.
-
E.
Luppi
Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
- 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: Kiara and Kovu Triple: [Pride Lands, ruledBy, Kiara and Kovu]
Generated description
Kiara and Kovu are the lion king and queen of the Pride Lands in Disney’s The Lion King franchise, uniting formerly rival prides through their leadership and relationship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiara and Kovu Target entity description: Kiara and Kovu are the lion king and queen of the Pride Lands in Disney’s The Lion King franchise, uniting formerly rival prides through their leadership and relationship.
-
A.
Nala
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.
Luna the Wolf
Luna the Wolf is the costumed wolf mascot representing the athletic teams and school spirit of the University of Nevada, Reno.
-
D.
Kisha
"Kisha" is a track from Lil Wayne’s debut studio album "Tha Block Is Hot," showcasing his early Southern hip-hop style.
-
E.
Luppi
Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf13858819095262664e1e04eb7 |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870d510f08190ad7706f582e8c1a0 |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c87328c2cc81908b9fb89f5fee062e |
completed | March 29, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c873846a188190a3a1cc56ac247fb0 |
completed | March 29, 2026, 12:34 a.m. |
Created at: March 27, 2026, 3:58 p.m.