Triple
T11521285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estelle Harris |
E273166
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object |
Mama Gunda
Mama Gunda is a tough, domineering female gorilla and the overprotective mother of Uto and Kago in Disney’s animated film "Tarzan II."
|
E930016
|
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: Mama Gunda | Statement: [Estelle Harris, characterRole, Mama Gunda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mama Gunda Context triple: [Estelle Harris, characterRole, Mama Gunda]
-
A.
Mama Runtu
Mama Runtu was an Inca noblewoman best known as the mother of the powerful Inca emperor Pachacuti, a key figure in the expansion of the Inca Empire.
-
B.
Gunda
Gunda is a feminine given name used as a diminutive form of the name Kunegunda.
-
C.
Mam Maya
Mam Maya are an Indigenous Maya people of the highlands of Guatemala and parts of Mexico, known for their distinct Mayan language, traditional weaving, and resilient cultural practices.
-
D.
Shyamchi Aai
Shyamchi Aai is a classic Marathi autobiographical novel by Sane Guruji that poignantly portrays his childhood and deep bond with his mother.
-
E.
Majhli Didi
Majhli Didi is a 1967 Hindi drama film, based on a story by Sarat Chandra Chattopadhyay and noted for its sensitive portrayal of rural life and relationships.
- 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: Mama Gunda Triple: [Estelle Harris, characterRole, Mama Gunda]
Generated description
Mama Gunda is a tough, domineering female gorilla and the overprotective mother of Uto and Kago in Disney’s animated film "Tarzan II."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mama Gunda Target entity description: Mama Gunda is a tough, domineering female gorilla and the overprotective mother of Uto and Kago in Disney’s animated film "Tarzan II."
-
A.
Mama Runtu
Mama Runtu was an Inca noblewoman best known as the mother of the powerful Inca emperor Pachacuti, a key figure in the expansion of the Inca Empire.
-
B.
Gunda
Gunda is a feminine given name used as a diminutive form of the name Kunegunda.
-
C.
Mam Maya
Mam Maya are an Indigenous Maya people of the highlands of Guatemala and parts of Mexico, known for their distinct Mayan language, traditional weaving, and resilient cultural practices.
-
D.
Shyamchi Aai
Shyamchi Aai is a classic Marathi autobiographical novel by Sane Guruji that poignantly portrays his childhood and deep bond with his mother.
-
E.
Majhli Didi
Majhli Didi is a 1967 Hindi drama film, based on a story by Sarat Chandra Chattopadhyay and noted for its sensitive portrayal of rural life and relationships.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd129c88190893b95222480e04a |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62551a36081908ef6418fe8e2155c |
completed | April 20, 2026, 1:08 p.m. |
| NEDg | Description generation | batch_69e62cf5b9988190bc1935993f0111f7 |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e66433ddb48190994bb1160b0ff732 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:36 p.m.