Triple

T4941738
Position Surface form Disambiguated ID Type / Status
Subject Maganlal Gandhi E110951 entity
Predicate givenName P17 FINISHED
Object Maganlal
Maganlal is an Indian given name commonly used for men, particularly in Gujarati-speaking communities.
 E481317 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: Maganlal | Statement: [Maganlal Gandhi, givenName, Maganlal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maganlal
Context triple: [Maganlal Gandhi, givenName, Maganlal]
  • A. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • B. Mamanguape
    Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
  • C. Makili
    Makili is a small coastal settlement on Atauro Island in East Timor, known for its traditional fishing community and proximity to rich marine biodiversity.
  • D. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Mani
    Mani is a diminutive form of the given name Marian, commonly used as a familiar or affectionate nickname.
  • 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: Maganlal
Triple: [Maganlal Gandhi, givenName, Maganlal]
Generated description
Maganlal is an Indian given name commonly used for men, particularly in Gujarati-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maganlal
Target entity description: Maganlal is an Indian given name commonly used for men, particularly in Gujarati-speaking communities.
  • A. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • B. Mamanguape
    Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
  • C. Makili
    Makili is a small coastal settlement on Atauro Island in East Timor, known for its traditional fishing community and proximity to rich marine biodiversity.
  • D. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Mani
    Mani is a diminutive form of the given name Marian, commonly used as a familiar or affectionate nickname.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708ba9888190baf4e79c8f159e9f completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77c19090819084f6b98d22c2b3a0 completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be79617a788190a2e7ae0a234002da completed March 21, 2026, 10:56 a.m.
NED2 Entity disambiguation (via description) batch_69be79ce18a48190a61880aaa00f02e0 completed March 21, 2026, 10:58 a.m.
Created at: March 20, 2026, 1:31 p.m.