Triple

T8550838
Position Surface form Disambiguated ID Type / Status
Subject M. G. Ramachandran E202438 entity
Predicate spouse P13 FINISHED
Object Bhargavi
Bhargavi was an Indian woman known primarily as the first wife of iconic Tamil actor and politician M. G. Ramachandran.
 E740591 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: Bhargavi | Statement: [M. G. Ramachandran, spouse, Bhargavi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bhargavi
Context triple: [M. G. Ramachandran, spouse, Bhargavi]
  • A. Jayanti
    Jayanti is a scenic forest village and popular eco-tourism spot in West Bengal’s Dooars region, known for its riverside views and proximity to rich wildlife habitats.
  • B. Shyamala
    Shyamala is an Indian-origin female given name commonly used in South Asia.
  • C. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • D. Vandana
    Vandana is the first name of Vandana Shiva, an Indian scholar, environmental activist, and advocate of ecofeminism and sustainable agriculture.
  • E. Vishakha
    Vishakha is a celebrated Marathi poetry collection by Vishnu Vaman Shirwadkar (Kusumagraj), renowned for its lyrical depth and humanistic themes.
  • 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: Bhargavi
Triple: [M. G. Ramachandran, spouse, Bhargavi]
Generated description
Bhargavi was an Indian woman known primarily as the first wife of iconic Tamil actor and politician M. G. Ramachandran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bhargavi
Target entity description: Bhargavi was an Indian woman known primarily as the first wife of iconic Tamil actor and politician M. G. Ramachandran.
  • A. Jayanti
    Jayanti is a scenic forest village and popular eco-tourism spot in West Bengal’s Dooars region, known for its riverside views and proximity to rich wildlife habitats.
  • B. Shyamala
    Shyamala is an Indian-origin female given name commonly used in South Asia.
  • C. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • D. Vandana
    Vandana is the first name of Vandana Shiva, an Indian scholar, environmental activist, and advocate of ecofeminism and sustainable agriculture.
  • E. Vishakha
    Vishakha is a celebrated Marathi poetry collection by Vishnu Vaman Shirwadkar (Kusumagraj), renowned for its lyrical depth and humanistic themes.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe75589d8819096177ddbd3dafcb6 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dc1bb5481909ddd3af564c24c0c completed April 2, 2026, 1:23 p.m.
NEDg Description generation batch_69ce6ec45bfc8190adc358d4c5fdc82a completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f4177b08190867c099e4f1206a2 completed April 2, 2026, 1:29 p.m.
Created at: March 30, 2026, 6:19 p.m.