Triple

T8565065
Position Surface form Disambiguated ID Type / Status
Subject Shankar E202782 entity
Predicate givenName P17 FINISHED
Object Shankar 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: Shankar | Statement: [Shankar, givenName, Shankar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shankar
Context triple: [Shankar, 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.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb84a6988190ba6852f72c8918ca completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:20 p.m.