Triple

T8565233
Position Surface form Disambiguated ID Type / Status
Subject J. Jayalalithaa E202785 entity
Predicate alsoKnownAs P39 FINISHED
Object Amma
Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
 E742956 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: Amma | Statement: [J. Jayalalithaa, alsoKnownAs, Amma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amma
Context triple: [J. Jayalalithaa, alsoKnownAs, Amma]
  • A. Amma
    Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
  • B. Amma II
    Amma II was a medieval monarch of the Eastern Chalukya dynasty who ruled parts of present-day Andhra Pradesh in southern India.
  • C. Bhudevi
    Bhudevi is the Hindu earth goddess and consort of Lord Vishnu, revered as the personification of the fertile, nurturing aspects of the Earth.
  • D. Kanaka Durga
    Kanaka Durga is a revered form of the Hindu goddess Durga, worshipped especially as the presiding deity of the famous hilltop temple in Vijayawada, Andhra Pradesh.
  • E. Sri Mata
    Sri Mata is a revered epithet of the Hindu goddess Tripura Sundari, honoring her as the supreme divine mother and embodiment of beauty, power, and grace.
  • 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: Amma
Triple: [J. Jayalalithaa, alsoKnownAs, Amma]
Generated description
Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amma
Target entity description: Amma is the popular honorific nickname of J. Jayalalithaa, the influential Indian politician and long-serving Chief Minister of Tamil Nadu.
  • A. Amma
    Amma is a fictional female protagonist, likely a central figure in a narrative focused on a girl or woman’s experiences.
  • B. Amma II
    Amma II was a medieval monarch of the Eastern Chalukya dynasty who ruled parts of present-day Andhra Pradesh in southern India.
  • C. Bhudevi
    Bhudevi is the Hindu earth goddess and consort of Lord Vishnu, revered as the personification of the fertile, nurturing aspects of the Earth.
  • D. Kanaka Durga
    Kanaka Durga is a revered form of the Hindu goddess Durga, worshipped especially as the presiding deity of the famous hilltop temple in Vijayawada, Andhra Pradesh.
  • E. Sri Mata
    Sri Mata is a revered epithet of the Hindu goddess Tripura Sundari, honoring her as the supreme divine mother and embodiment of beauty, power, and grace.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89677888819091dfda14ce6baef3 completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8c10d774819086437ffeeb1ef25d completed April 2, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d0064fc819095058293e4229f25 completed April 2, 2026, 3:36 p.m.
Created at: March 30, 2026, 6:20 p.m.