Triple
T7643647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simba |
E173068
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Kiara
Kiara is the lion princess of the Pride Lands and future queen introduced in Disney's "The Lion King II: Simba's Pride."
|
E677877
|
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 | Statement: [Simba, child, Kiara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiara Context triple: [Simba, child, Kiara]
-
A.
Kiana
Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
-
B.
Anika
Anika is the first name of Anika Noni Rose, an American actress and singer best known for voicing Tiana in Disney’s "The Princess and the Frog."
-
C.
Kyra
Kyra is a feminine given name most notably borne by American actress and producer Kyra Sedgwick.
-
D.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
E.
Lasya
Lasya is a graceful, expressive classical Indian dance style traditionally associated with feminine beauty and gentle, fluid movements.
- 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 Triple: [Simba, child, Kiara]
Generated description
Kiara is the lion princess of the Pride Lands and future queen introduced in Disney's "The Lion King II: Simba's Pride."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiara Target entity description: Kiara is the lion princess of the Pride Lands and future queen introduced in Disney's "The Lion King II: Simba's Pride."
-
A.
Kiana
Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
-
B.
Anika
Anika is the first name of Anika Noni Rose, an American actress and singer best known for voicing Tiana in Disney’s "The Princess and the Frog."
-
C.
Kyra
Kyra is a feminine given name most notably borne by American actress and producer Kyra Sedgwick.
-
D.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
E.
Lasya
Lasya is a graceful, expressive classical Indian dance style traditionally associated with feminine beauty and gentle, fluid movements.
- 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_69c6faef96908190a7724b204f9d8c9e |
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.