Triple

T8197635
Position Surface form Disambiguated ID Type / Status
Subject Mani Shankar Mukherjee E191471 entity
Predicate alsoKnownAs P39 FINISHED
Object Shankar E718515 NE FINISHED

How this triple was built (2 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: [Mani Shankar Mukherjee, alsoKnownAs, Shankar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shankar
Context triple: [Mani Shankar Mukherjee, alsoKnownAs, 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 chosen
    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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c2341f881908be59c378896e5bc completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34a11138819093b9a17ab8b8ec8a completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:42 p.m.