Triple

T5162635
Position Surface form Disambiguated ID Type / Status
Subject Alamelu Mangamma E116470 entity
Predicate givenName P17 FINISHED
Object Alamelu
Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
 E499906 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: Alamelu | Statement: [Alamelu Mangamma, givenName, Alamelu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alamelu
Context triple: [Alamelu Mangamma, givenName, Alamelu]
  • A. Malinalli
    Malinalli, better known as La Malinche, was a Nahua woman who served as interpreter, advisor, and intermediary for Hernán Cortés during the Spanish conquest of the Aztec Empire.
  • B. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • C. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • D. Arnissa
    Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
  • E. Ponna
    Ponna was a prominent 10th-century Kannada poet of the Rashtrakuta court, renowned for his Jain devotional and classical literary works.
  • 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: Alamelu
Triple: [Alamelu Mangamma, givenName, Alamelu]
Generated description
Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alamelu
Target entity description: Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
  • A. Malinalli
    Malinalli, better known as La Malinche, was a Nahua woman who served as interpreter, advisor, and intermediary for Hernán Cortés during the Spanish conquest of the Aztec Empire.
  • B. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • C. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • D. Arnissa
    Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
  • E. Ponna
    Ponna was a prominent 10th-century Kannada poet of the Rashtrakuta court, renowned for his Jain devotional and classical literary works.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79268ea48190a22d3350babc153c completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed933abd88190981cb16189685b8f completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69beda793fbc819098386f6d7633df95 completed March 21, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_69bedadb77dc81909604133f25977f35 completed March 21, 2026, 5:52 p.m.
Created at: March 20, 2026, 1:44 p.m.