Triple

T33473483

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kumariyin Kathai	`E857256`	entity
Predicate	authorNameInTamil	`P33804`	FINISHED
Object	சி. ந. அண்ணாதுரை சி. ந. அண்ணாதுரை (கலைஞர் அண்ணா) தமிழ்நாட்டின் முன்னணி அரசியல்வாதி, எழுத்தாளர் மற்றும் திராவிட இயக்கத் தலைவராக, மாநிலத்தின் முதல் முதல்வராகவும் சமூக நீதி, மொழி உரிமைகள் ஆகியவற்றுக்காகப் போராடியவராகவும் அறியப்படுகிறார்.	`E2053501`	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: சி. ந. அண்ணாதுரை | Statement: [Kumariyin Kathai, authorNameInTamil, சி. ந. அண்ணாதுரை]

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: சி. ந. அண்ணாதுரை
Triple: [Kumariyin Kathai, authorNameInTamil, சி. ந. அண்ணாதுரை]

Generated description

சி. ந. அண்ணாதுரை (கலைஞர் அண்ணா) தமிழ்நாட்டின் முன்னணி அரசியல்வாதி, எழுத்தாளர் மற்றும் திராவிட இயக்கத் தலைவராக, மாநிலத்தின் முதல் முதல்வராகவும் சமூக நீதி, மொழி உரிமைகள் ஆகியவற்றுக்காகப் போராடியவராகவும் அறியப்படுகிறார்.

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

Target predicate: authorNameInTamil
Context triple: [Kumariyin Kathai, authorNameInTamil, சி. ந. அண்ணாதுரை]

A. nameInTamil chosen
Indicates that an entity’s name is expressed or written in the Tamil language.
B. authorName
Indicates the name associated with the person or entity that authored a given work or resource.
C. authorTitle
Indicates that a person is the creator or writer of a work that bears the specified title.
D. authorOfNamesFor
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
E. authorType
Indicates the specific role or category of authorship associated with an entity, such as primary author, co-author, or editor.
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_69f3497472508190b300ebd3fd402367`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69fd64bc86848190a49f451a8fc5cf1e`	completed	May 8, 2026, 4:21 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3595ae23148190b582effdc02d6c63`	completed	June 19, 2026, 7:17 p.m.
NEDg	Description generation	`batch_6a359a28b2d0819087ec47dd04f52c38`	completed	June 19, 2026, 7:36 p.m.
NED2	Entity disambiguation (via description)	`batch_6a359a84f2ec81909817af5a4928c048`	completed	June 19, 2026, 7:37 p.m.
PD	Predicate disambiguation	`batch_69fd5ff4a648819090756d90fd195d9a`	completed	May 8, 2026, 4 a.m.

Created at: May 1, 2026, 1:37 a.m.