Triple

T4837198
Position Surface form Disambiguated ID Type / Status
Subject Ramachandra E108087 entity
Predicate givenName P17 FINISHED
Object Ramachandra
Ramachandra is a common Indian male given name of Sanskrit origin, often associated with the Hindu deity Lord Rama.
 E509963 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: Ramachandra | Statement: [Ramachandra, givenName, Ramachandra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ramachandra
Context triple: [Ramachandra, givenName, Ramachandra]
  • A. Ramachandra
    Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
  • B. Rama
    Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
  • C. Rama
    Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
  • D. Vikram
    Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
  • E. Vikram
    Vikram is the lunar lander of India’s Chandrayaan-3 mission, designed to achieve a soft landing on the Moon’s surface.
  • 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: Ramachandra
Triple: [Ramachandra, givenName, Ramachandra]
Generated description
Ramachandra is a common Indian male given name of Sanskrit origin, often associated with the Hindu deity Lord Rama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ramachandra
Target entity description: Ramachandra is a common Indian male given name of Sanskrit origin, often associated with the Hindu deity Lord Rama.
  • A. Ramachandra
    Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
  • B. Rama
    Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
  • C. Rama
    Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
  • D. Vikram
    Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
  • E. Vikram
    Vikram is the lunar lander of India’s Chandrayaan-3 mission, designed to achieve a soft landing on the Moon’s surface.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce193488190a618250a5681f3ff completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10b0ec0c8190bcd4503dd09667c7 completed March 21, 2026, 9:42 p.m.
NEDg Description generation batch_69bf117894d481909817346060a28d07 completed March 21, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69bf1267a0a88190a558937fa7776ed7 completed March 21, 2026, 9:49 p.m.
Created at: March 20, 2026, 1:25 p.m.