Triple

T27278528
Position Surface form Disambiguated ID Type / Status
Subject P. S. Govindasamy Naidu E688263 entity
Predicate memberOf P10 FINISHED
Object PSG family of Coimbatore
The PSG family of Coimbatore is a prominent industrial and philanthropic lineage in Tamil Nadu, best known for founding and running major educational institutions and businesses in the region.
E1765118 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: PSG family of Coimbatore | Statement: [P. S. Govindasamy Naidu, memberOf, PSG family of Coimbatore]
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: PSG family of Coimbatore
Triple: [P. S. Govindasamy Naidu, memberOf, PSG family of Coimbatore]
Generated description
The PSG family of Coimbatore is a prominent industrial and philanthropic lineage in Tamil Nadu, best known for founding and running major educational institutions and businesses in the region.

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_69ef3558cf8881909595ef89daf6e14a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62729cd5c819089a42be0a74bfb60 completed May 2, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a126293a2008190a716ef1f1d5841f8 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a1268eb06cc8190a9bcb4397775c34c completed May 24, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_6a126983a194819093db115c63acc22f completed May 24, 2026, 2:59 a.m.
Created at: April 27, 2026, 11:05 a.m.