Triple

T15920673
Position Surface form Disambiguated ID Type / Status
Subject Shankar E386083 entity
Predicate scriptForm P9329 FINISHED
Object ശങ്കര unclear NED1 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: ശങ്കര | Statement: [Shankar, scriptForm, ശങ്കര]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ശങ്കര
Context triple: [Shankar, scriptForm, ശങ്കര]
  • 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. Shankar
    Shankar is the given name of Shankar Dayal Sharma, who served as the ninth President of India.
  • E. Ramanaidu
    Ramanaidu is an Indian given name most notably associated with D. Ramanaidu, a prominent Telugu film producer and founder of Suresh Productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156818cbc819086c956475ad23825 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a96e508190a64c2be6dc506e86 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.