Triple

T11196234
Position Surface form Disambiguated ID Type / Status
Subject Shankar Dayal Sharma E264928 entity
Predicate givenName P17 FINISHED
Object Shankar
Shankar is the given name of Shankar Dayal Sharma, who served as the ninth President of India.
 E910422 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: Shankar | Statement: [Shankar Dayal Sharma, givenName, Shankar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shankar
Context triple: [Shankar Dayal Sharma, givenName, Shankar]
  • A. Shankar
    Shankar is a prominent Indian film director best known for his big-budget, socially themed blockbuster movies in Tamil cinema.
  • B. Shankar
    Shankar is the surname of the renowned musical family that includes legendary sitar virtuoso Ravi Shankar and his daughter, singer-songwriter Norah Jones.
  • C. Shankar
    Shankar is the pen name of Mani Shankar Mukherjee, a prominent Indian Bengali writer known for his novels, travelogues, and works often adapted into acclaimed films.
  • D. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • E. Raman
    Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
  • 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: Shankar
Triple: [Shankar Dayal Sharma, givenName, Shankar]
Generated description
Shankar is the given name of Shankar Dayal Sharma, who served as the ninth President of India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shankar
Target entity description: Shankar is the given name of Shankar Dayal Sharma, who served as the ninth President of India.
  • A. Shankar
    Shankar is a prominent Indian film director best known for his big-budget, socially themed blockbuster movies in Tamil cinema.
  • B. Shankar
    Shankar is the surname of the renowned musical family that includes legendary sitar virtuoso Ravi Shankar and his daughter, singer-songwriter Norah Jones.
  • C. Shankar
    Shankar is the pen name of Mani Shankar Mukherjee, a prominent Indian Bengali writer known for his novels, travelogues, and works often adapted into acclaimed films.
  • D. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • E. Raman
    Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c082fc8190866c574f698b59ef completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4840640688190a5b3c36883b8fce8 completed April 19, 2026, 7:28 a.m.
NEDg Description generation batch_69e48717c35481908fb05597084167e7 completed April 19, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69e48875faa88190af33654e6d9a708b completed April 19, 2026, 7:47 a.m.
Created at: April 8, 2026, 9:29 p.m.