Triple
T8564884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suriya |
E202778
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
|
E748337
|
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: Nandha | Statement: [Suriya, notableWork, Nandha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandha Context triple: [Suriya, notableWork, Nandha]
-
A.
Nandi Thimmana
Nandi Thimmana was a prominent Telugu poet of the Vijayanagara Empire, renowned for his works in the court of Emperor Krishnadevaraya.
-
B.
Pillaiyar
Pillaiyar is a widely revered elephant-headed Hindu deity, especially in South India, worshipped as the remover of obstacles and patron of beginnings and wisdom.
-
C.
Padayappa
Padayappa is a hugely popular 1999 Tamil-language masala film starring Rajinikanth, known for its dramatic storyline, memorable dialogues, and iconic confrontation between the hero and the antagonist played by Ramya Krishnan.
-
D.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
E.
Kovalan
Kovalan is a tragic hero from ancient Tamil literature, best known as the ill-fated husband of Kannagi in the epic Silappatikaram.
- 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: Nandha Triple: [Suriya, notableWork, Nandha]
Generated description
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nandha Target entity description: Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
A.
Nandi Thimmana
Nandi Thimmana was a prominent Telugu poet of the Vijayanagara Empire, renowned for his works in the court of Emperor Krishnadevaraya.
-
B.
Pillaiyar
Pillaiyar is a widely revered elephant-headed Hindu deity, especially in South India, worshipped as the remover of obstacles and patron of beginnings and wisdom.
-
C.
Padayappa
Padayappa is a hugely popular 1999 Tamil-language masala film starring Rajinikanth, known for its dramatic storyline, memorable dialogues, and iconic confrontation between the hero and the antagonist played by Ramya Krishnan.
-
D.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
E.
Kovalan
Kovalan is a tragic hero from ancient Tamil literature, best known as the ill-fated husband of Kannagi in the epic Silappatikaram.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d11274819099cc33a21a993a1f |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc6a63488190a03d1f5e80ac28b4 |
completed | April 2, 2026, 8:07 p.m. |
| NEDg | Description generation | batch_69cece14193081909e7b36f5b5b7da40 |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecee1db28819095f704b96b8c6d2a |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 6:20 p.m.