Triple

T25397148
Position Surface form Disambiguated ID Type / Status
Subject Tamluk Lok Sabha constituency E636322 entity
Predicate previousMP P31607 FINISHED
Object Sisir Adhikari
Sisir Adhikari is an Indian politician from West Bengal, associated with the Adhikari political family, who has served as a Member of Parliament and held various influential roles in state and national politics.
E1680766 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: Sisir Adhikari | Statement: [Tamluk Lok Sabha constituency, previousMP, Sisir Adhikari]
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: Sisir Adhikari
Triple: [Tamluk Lok Sabha constituency, previousMP, Sisir Adhikari]
Generated description
Sisir Adhikari is an Indian politician from West Bengal, associated with the Adhikari political family, who has served as a Member of Parliament and held various influential roles in state and national politics.

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_69e75db263888190b77fff9e2827b9a2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f584f5dda88190a24d7fb4ab0a45bd completed May 2, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_6a108987c2f881909a3b5e9b029cd797 completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a108a8822448190952d85edaacbc7a8 completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108b70adbc8190b07513a5b3af19cb completed May 22, 2026, 4:59 p.m.
Created at: April 21, 2026, 1:50 p.m.