Triple

T27192115
Position Surface form Disambiguated ID Type / Status
Subject Mount Carmel College, Bangalore E683501 entity
Predicate notableAlumnus P304 FINISHED
Object Anushka Manchanda
Anushka Manchanda is an Indian singer, former VJ, and performer known for her work in Bollywood playback singing and as a member of the pop group Viva.
E2004927 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: Anushka Manchanda | Statement: [Mount Carmel College, Bangalore, notableAlumnus, Anushka Manchanda]
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: Anushka Manchanda
Triple: [Mount Carmel College, Bangalore, notableAlumnus, Anushka Manchanda]
Generated description
Anushka Manchanda is an Indian singer, former VJ, and performer known for her work in Bollywood playback singing and as a member of the pop group Viva.

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_69eefad140408190b8586fdebcf9af46 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f625ac8e4c8190b44c30995739731f completed May 2, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a344ede1e948190b71b556bc85ba575 completed June 18, 2026, 8:02 p.m.
NEDg Description generation batch_6a344f9edee08190b40cf3f1eb51f8a8 completed June 18, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_6a34513c68008190829e0525a5a0c9bc completed June 18, 2026, 8:12 p.m.
Created at: April 27, 2026, 9:32 a.m.