Triple
T20417678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ananthabhadram |
E500753
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Kalabhavan Mani
Kalabhavan Mani was a popular Indian film actor and folk singer, best known for his versatile character roles and work in Malayalam and Tamil cinema.
|
E1430391
|
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: Kalabhavan Mani | Statement: [Ananthabhadram, castMember, Kalabhavan Mani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalabhavan Mani Context triple: [Ananthabhadram, castMember, Kalabhavan Mani]
-
A.
Balakumaran
Balakumaran was a prominent Indian Tamil author and screenwriter known for his popular novels and contributions to Tamil cinema.
-
B.
Chandrabose
Chandrabose is an Indian lyricist best known for writing popular songs for Telugu cinema.
-
C.
Dhanya Manikya
Dhanya Manikya was a prominent king of the Manikya dynasty who significantly expanded and consolidated the Tripura kingdom in northeastern India during his reign.
-
D.
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.
-
E.
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.
- 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: Kalabhavan Mani Triple: [Ananthabhadram, castMember, Kalabhavan Mani]
Generated description
Kalabhavan Mani was a popular Indian film actor and folk singer, best known for his versatile character roles and work in Malayalam and Tamil cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalabhavan Mani Target entity description: Kalabhavan Mani was a popular Indian film actor and folk singer, best known for his versatile character roles and work in Malayalam and Tamil cinema.
-
A.
Balakumaran
Balakumaran was a prominent Indian Tamil author and screenwriter known for his popular novels and contributions to Tamil cinema.
-
B.
Chandrabose
Chandrabose is an Indian lyricist best known for writing popular songs for Telugu cinema.
-
C.
Dhanya Manikya
Dhanya Manikya was a prominent king of the Manikya dynasty who significantly expanded and consolidated the Tripura kingdom in northeastern India during his reign.
-
D.
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.
-
E.
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.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883f006748190ac1c516e9623637e |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08844e244081909fe8b2dc54e3a8fc |
completed | May 16, 2026, 2:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0884b3fe308190b3d2e7e2db5c3493 |
completed | May 16, 2026, 2:52 p.m. |
Created at: April 16, 2026, 11:30 a.m.