Triple

T5162634
Position Surface form Disambiguated ID Type / Status
Subject Alamelu Mangamma E116470 entity
Predicate familyName P18 FINISHED
Object Mangamma
Mangamma is an Indian surname commonly associated with South Indian families and traditional given names.
 E499905 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: Mangamma | Statement: [Alamelu Mangamma, familyName, Mangamma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mangamma
Context triple: [Alamelu Mangamma, familyName, Mangamma]
  • A. Mwadi Mabika
    Mwadi Mabika is a former Congolese professional basketball player best known as a standout guard for the Los Angeles Sparks in the WNBA.
  • B. Muribenua
    Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
  • C. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • D. Imlil
    Imlil is a small mountain village in Morocco’s High Atlas that serves as the main gateway for trekkers heading to Mount Toubkal.
  • E. Mvita
    Mvita is an alternative name for Kimvita, a historic Swahili settlement and cultural center on the coast of present-day Kenya.
  • 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: Mangamma
Triple: [Alamelu Mangamma, familyName, Mangamma]
Generated description
Mangamma is an Indian surname commonly associated with South Indian families and traditional given names.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mangamma
Target entity description: Mangamma is an Indian surname commonly associated with South Indian families and traditional given names.
  • A. Mwadi Mabika
    Mwadi Mabika is a former Congolese professional basketball player best known as a standout guard for the Los Angeles Sparks in the WNBA.
  • B. Muribenua
    Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
  • C. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • D. Imlil
    Imlil is a small mountain village in Morocco’s High Atlas that serves as the main gateway for trekkers heading to Mount Toubkal.
  • E. Mvita
    Mvita is an alternative name for Kimvita, a historic Swahili settlement and cultural center on the coast of present-day Kenya.
  • 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.