Triple
T8550871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikram |
E202439
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Pithamagan
Pithamagan is a 2003 Tamil-language drama film directed by Bala, acclaimed for Vikram’s intense performance as a socially isolated graveyard worker.
|
E741423
|
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: Pithamagan | Statement: [Vikram, notableWork, Pithamagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pithamagan Context triple: [Vikram, notableWork, Pithamagan]
-
A.
Pitadeniya
Pitadeniya is a village and gateway area in southern Sri Lanka that serves as a main entry point for visitors to the Sinharaja Forest Reserve.
-
B.
Pamankada
Pamankada is a residential and commercial neighborhood within the city of Colombo, Sri Lanka.
-
C.
The Ganachery
The Ganachery is an artisanal chocolate shop at Disney Springs known for its handcrafted ganache and specialty confections.
-
D.
Badagu Thittu
Badagu Thittu is a major northern style of the traditional South Indian dance-drama Yakshagana, known for its elaborate costumes, vigorous dance, and distinctive musical patterns.
-
E.
Pothana
Pothana was a 15th-century Telugu poet best known for his devotional translation of the Bhagavata Purana into Telugu, which became a classic of Telugu literature.
- 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: Pithamagan Triple: [Vikram, notableWork, Pithamagan]
Generated description
Pithamagan is a 2003 Tamil-language drama film directed by Bala, acclaimed for Vikram’s intense performance as a socially isolated graveyard worker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pithamagan Target entity description: Pithamagan is a 2003 Tamil-language drama film directed by Bala, acclaimed for Vikram’s intense performance as a socially isolated graveyard worker.
-
A.
Pitadeniya
Pitadeniya is a village and gateway area in southern Sri Lanka that serves as a main entry point for visitors to the Sinharaja Forest Reserve.
-
B.
Pamankada
Pamankada is a residential and commercial neighborhood within the city of Colombo, Sri Lanka.
-
C.
The Ganachery
The Ganachery is an artisanal chocolate shop at Disney Springs known for its handcrafted ganache and specialty confections.
-
D.
Badagu Thittu
Badagu Thittu is a major northern style of the traditional South Indian dance-drama Yakshagana, known for its elaborate costumes, vigorous dance, and distinctive musical patterns.
-
E.
Pothana
Pothana was a 15th-century Telugu poet best known for his devotional translation of the Bhagavata Purana into Telugu, which became a classic of Telugu literature.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe75589d8819096177ddbd3dafcb6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dc7f6fc8190addd5d2bbe1f4408 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6f3f40708190a351600ec9f12ee4 |
completed | April 2, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce703b74f8819093bda2d3e59f7e94 |
completed | April 2, 2026, 1:33 p.m. |
Created at: March 30, 2026, 6:19 p.m.