Triple

T34491383
Position Surface form Disambiguated ID Type / Status
Subject Syndicate of the University of Mysore E885475 entity
Predicate reportsTo P258 FINISHED
Object Chancellor of the University of Mysore
The Chancellor of the University of Mysore is the ceremonial head of the university, presiding over key academic functions and providing overall leadership and oversight.
 E2101481 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: Chancellor of the University of Mysore | Statement: [Syndicate of the University of Mysore, reportsTo, Chancellor of the University of Mysore]
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: Chancellor of the University of Mysore
Triple: [Syndicate of the University of Mysore, reportsTo, Chancellor of the University of Mysore]
Generated description
The Chancellor of the University of Mysore is the ceremonial head of the university, presiding over key academic functions and providing overall leadership and oversight.

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_69f349cafcec8190997b45b3fdc16c27 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71cef583081909743639bddf16652 completed May 3, 2026, 10:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a373614573c81909acb3368aa06b198 completed June 21, 2026, 12:53 a.m.
NEDg Description generation batch_6a3736b9716881908d7dcc37fd79a89b completed June 21, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_6a37375fecf081908a85fdb46751fc6b completed June 21, 2026, 12:59 a.m.
Created at: May 1, 2026, 2:01 a.m.