Triple
T7672352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nala |
E173777
|
entity |
| Predicate | portrayedByVoice |
P13156
|
FINISHED |
| Object |
Niketa Calame
Niketa Calame is an American actress best known for voicing young Nala in Disney’s animated film "The Lion King."
|
E681728
|
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: Niketa Calame | Statement: [Nala, portrayedByVoice, Niketa Calame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niketa Calame Context triple: [Nala, portrayedByVoice, Niketa Calame]
-
A.
Nina Sosanya
Nina Sosanya is a British actress known for her work in television, film, and theatre, including roles in series such as "Last Tango in Halifax," "W1A," and "His Dark Materials."
-
B.
Nicole Fugere
Nicole Fugere is an American actress best known for playing Wednesday Addams in late-1990s Addams Family television projects.
-
C.
Alexia Barroso
Alexia Barroso is the stepdaughter of actor Matt Damon, known for largely maintaining a private life outside of the public spotlight.
-
D.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
E.
Angelica Galante
Angelica Galante is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
- 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: Niketa Calame Triple: [Nala, portrayedByVoice, Niketa Calame]
Generated description
Niketa Calame is an American actress best known for voicing young Nala in Disney’s animated film "The Lion King."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niketa Calame Target entity description: Niketa Calame is an American actress best known for voicing young Nala in Disney’s animated film "The Lion King."
-
A.
Nina Sosanya
Nina Sosanya is a British actress known for her work in television, film, and theatre, including roles in series such as "Last Tango in Halifax," "W1A," and "His Dark Materials."
-
B.
Nicole Fugere
Nicole Fugere is an American actress best known for playing Wednesday Addams in late-1990s Addams Family television projects.
-
C.
Alexia Barroso
Alexia Barroso is the stepdaughter of actor Matt Damon, known for largely maintaining a private life outside of the public spotlight.
-
D.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
E.
Angelica Galante
Angelica Galante is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
- 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_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. |
| NEDg | Description generation | batch_69c8a34c93a081908ec3509c3abb3866 |
completed | March 29, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a3b4e0a88190ad525c83bd03e09f |
completed | March 29, 2026, 3:59 a.m. |
Created at: March 27, 2026, 4 p.m.