Triple

T31519645
Position Surface form Disambiguated ID Type / Status
Subject Shubhendra Shankar E804170 entity
Predicate notableFamily P1481 FINISHED
Object Shankar family
The Shankar family is a prominent Indian musical lineage best known for its influential contributions to Hindustani classical music and world music through figures like sitar maestro Ravi Shankar and his descendants.
E1965772 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 family | Statement: [Shubhendra Shankar, notableFamily, Shankar family]
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 family
Triple: [Shubhendra Shankar, notableFamily, Shankar family]
Generated description
The Shankar family is a prominent Indian musical lineage best known for its influential contributions to Hindustani classical music and world music through figures like sitar maestro Ravi Shankar and his descendants.

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_69f348cf839c81908657048402f7f97b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a75b374c8190a313d4f39ef3a1ca completed May 3, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b147dc4cc81909f10d8654e2e0967 completed June 11, 2026, 8:03 p.m.
NEDg Description generation batch_6a2b1b9b3c888190b767993cbd297f30 completed June 11, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_6a2b1c0cb63881909394c13582c2c12d completed June 11, 2026, 8:35 p.m.
Created at: April 30, 2026, 9:55 p.m.