Triple

T29212590

Position	Surface form	Disambiguated ID	Type / Status
Subject	Padayappa	`E740581`	entity
Predicate	leadAntagonistRole	`P113106`	FINISHED
Object	Ramya Krishnan as Neelambari Ramya Krishnan as Neelambari is a widely acclaimed portrayal of a powerful, vengeful and stylish villainess in the Tamil film "Padayappa," considered one of the most iconic negative roles in South Indian cinema.	`E1855717`	NE FINISHED

How this triple was built (3 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: Ramya Krishnan as Neelambari | Statement: [Padayappa, leadAntagonistRole, Ramya Krishnan as Neelambari]

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: Ramya Krishnan as Neelambari
Triple: [Padayappa, leadAntagonistRole, Ramya Krishnan as Neelambari]

Generated description

Ramya Krishnan as Neelambari is a widely acclaimed portrayal of a powerful, vengeful and stylish villainess in the Tamil film "Padayappa," considered one of the most iconic negative roles in South Indian cinema.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: leadAntagonistRole
Context triple: [Padayappa, leadAntagonistRole, Ramya Krishnan as Neelambari]

A. leadAntagonistCharacter
Indicates that one character serves as the primary opposing or villainous force in relation to another entity in the narrative.
B. antagonistActorRole
Indicates that an actor plays the role of an antagonist in a given work or context.
C. antagonistOccupation
Indicates the role, job, or professional activity that the antagonist character performs.
D. hasAntagonisticProtagonist
Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
E. mainAntagonistPortrayedBy chosen
Indicates that the person is the primary actor who plays the main antagonist character in a work.
F. None of above.

Provenance (6 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_69f07cba2f808190a2746477d4e8345b`	completed	April 28, 2026, 9:24 a.m.
NER	Named-entity recognition	`batch_69f68a16debc8190a12f5f65ced055d7`	completed	May 2, 2026, 11:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2569c95df48190913cead73e317d14`	completed	June 7, 2026, 12:53 p.m.
NEDg	Description generation	`batch_6a256e1a5a7481909bd3a9e3a719bba5`	completed	June 7, 2026, 1:11 p.m.
NED2	Entity disambiguation (via description)	`batch_6a25720109c481908ee70d2bbeb32403`	completed	June 7, 2026, 1:28 p.m.
PD	Predicate disambiguation	`batch_69f6860def1c81909d79e1f088c4b5e5`	completed	May 2, 2026, 11:17 p.m.

Created at: April 28, 2026, 12:12 p.m.