Triple
T8667473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajith Kumar |
E205711
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Anoushka Ajith
Anoushka Ajith is the daughter of prominent Indian Tamil film actor Ajith Kumar and his wife Shalini.
|
E749973
|
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: Anoushka Ajith | Statement: [Ajith Kumar, hasChild, Anoushka Ajith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anoushka Ajith Context triple: [Ajith Kumar, hasChild, Anoushka Ajith]
-
A.
Swati Pandit
Swati Pandit is an Indian-American figure best known as the wife of former Citigroup CEO Vikram Pandit.
-
B.
Nithya Raman
Nithya Raman is an urban planner and progressive politician who serves on the Los Angeles City Council, known for her focus on homelessness, housing, and social justice issues.
-
C.
Shila Ommi
Shila Ommi is an Iranian-American actress known for her film, television, and voice roles, including work in major animated features.
-
D.
Ambika Suri
Ambika Suri is known as the wife of Indian actor and producer Sanjay Suri.
-
E.
Anisa George
Anisa George is an actress known for her role in the critically acclaimed drama film "Rachel Getting Married."
- 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: Anoushka Ajith Triple: [Ajith Kumar, hasChild, Anoushka Ajith]
Generated description
Anoushka Ajith is the daughter of prominent Indian Tamil film actor Ajith Kumar and his wife Shalini.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anoushka Ajith Target entity description: Anoushka Ajith is the daughter of prominent Indian Tamil film actor Ajith Kumar and his wife Shalini.
-
A.
Swati Pandit
Swati Pandit is an Indian-American figure best known as the wife of former Citigroup CEO Vikram Pandit.
-
B.
Nithya Raman
Nithya Raman is an urban planner and progressive politician who serves on the Los Angeles City Council, known for her focus on homelessness, housing, and social justice issues.
-
C.
Shila Ommi
Shila Ommi is an Iranian-American actress known for her film, television, and voice roles, including work in major animated features.
-
D.
Ambika Suri
Ambika Suri is known as the wife of Indian actor and producer Sanjay Suri.
-
E.
Anisa George
Anisa George is an actress known for her role in the critically acclaimed drama film "Rachel Getting Married."
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a34b808190aa9aed9cdb2900e6 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd1ca88c8190a3b2ca79a7204248 |
completed | April 2, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69cece8fcbcc8190832a66287bc8f833 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecff48600819086a15700cb947056 |
completed | April 2, 2026, 8:22 p.m. |
Created at: March 30, 2026, 6:31 p.m.