Triple

T4871878
Position Surface form Disambiguated ID Type / Status
Subject Koorathazhwan E109102 entity
Predicate honorific P301 FINISHED
Object Kuresa
Kuresa, also known by the honorific Koorathazhwan, was a prominent 11th-century Sri Vaishnava scholar and chief disciple of the theologian Ramanuja.
 E476029 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: Kuresa | Statement: [Koorathazhwan, honorific, Kuresa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuresa
Context triple: [Koorathazhwan, honorific, Kuresa]
  • A. Buariki
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • B. Kurawa
    Kurawa are the antagonistic royal cousins of the Pandawa in Javanese and broader Indonesian adaptations of the Mahabharata, often portrayed as embodiments of greed, envy, and tyranny.
  • C. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • D. Kandas
    Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
  • E. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • 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: Kuresa
Triple: [Koorathazhwan, honorific, Kuresa]
Generated description
Kuresa, also known by the honorific Koorathazhwan, was a prominent 11th-century Sri Vaishnava scholar and chief disciple of the theologian Ramanuja.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuresa
Target entity description: Kuresa, also known by the honorific Koorathazhwan, was a prominent 11th-century Sri Vaishnava scholar and chief disciple of the theologian Ramanuja.
  • A. Buariki
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • B. Kurawa
    Kurawa are the antagonistic royal cousins of the Pandawa in Javanese and broader Indonesian adaptations of the Mahabharata, often portrayed as embodiments of greed, envy, and tyranny.
  • C. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • D. Kandas
    Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
  • E. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9e27908190a0c4540ee2559c4b completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67f1ca1881909a7412087fa0efab completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be68b9300c8190ba829be08e520047 completed March 21, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_69be6961d8688190a041e476e082ac36 completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:27 p.m.