Triple
T8667420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sivaji Ganesan |
E205710
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Prabhu
Prabhu is an Indian film actor best known for his work in Tamil cinema and as the son of legendary actor Sivaji Ganesan.
|
E749956
|
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: Prabhu | Statement: [Sivaji Ganesan, child, Prabhu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prabhu Context triple: [Sivaji Ganesan, child, Prabhu]
-
A.
Prabhasa
Prabhasa is a sacred coastal pilgrimage site in western India, traditionally associated with the Yadava clan and the end of Lord Krishna’s earthly life.
-
B.
Simhadri
Simhadri is a 2003 Telugu-language action drama film starring Jr. NTR that became one of director S. S. Rajamouli’s early commercial blockbusters.
-
C.
Shabara Svamin
Shabara Svamin was an influential early Indian philosopher and commentator whose work on the Mimamsa school’s foundational texts significantly shaped Hindu ritual and hermeneutic thought.
-
D.
Prabaker
Prabaker is a cheerful and loyal Indian guide and friend who plays a central supporting role in Gregory David Roberts' novel "Shantaram."
-
E.
Raghava
Raghava is an epithet of the Hindu deity Rama, highlighting his lineage from the Raghu dynasty and his role as a central hero of the Ramayana.
- 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: Prabhu Triple: [Sivaji Ganesan, child, Prabhu]
Generated description
Prabhu is an Indian film actor best known for his work in Tamil cinema and as the son of legendary actor Sivaji Ganesan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prabhu Target entity description: Prabhu is an Indian film actor best known for his work in Tamil cinema and as the son of legendary actor Sivaji Ganesan.
-
A.
Prabhasa
Prabhasa is a sacred coastal pilgrimage site in western India, traditionally associated with the Yadava clan and the end of Lord Krishna’s earthly life.
-
B.
Simhadri
Simhadri is a 2003 Telugu-language action drama film starring Jr. NTR that became one of director S. S. Rajamouli’s early commercial blockbusters.
-
C.
Shabara Svamin
Shabara Svamin was an influential early Indian philosopher and commentator whose work on the Mimamsa school’s foundational texts significantly shaped Hindu ritual and hermeneutic thought.
-
D.
Prabaker
Prabaker is a cheerful and loyal Indian guide and friend who plays a central supporting role in Gregory David Roberts' novel "Shantaram."
-
E.
Raghava
Raghava is an epithet of the Hindu deity Rama, highlighting his lineage from the Raghu dynasty and his role as a central hero of the Ramayana.
- 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.