Triple

T36511888
Position Surface form Disambiguated ID Type / Status
Subject E. S. L. Narasimhan E899928 entity
Predicate predecessorAsGovernorOfChhattisgarh P34201 FINISHED
Object K. M. Seth
K. M. Seth is an Indian politician and administrator who served as the Governor of Chhattisgarh.
 E2187794 NE FINISHED

How this triple was built (3 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: K. M. Seth | Statement: [E. S. L. Narasimhan, predecessorAsGovernorOfChhattisgarh, K. M. Seth]
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: K. M. Seth
Triple: [E. S. L. Narasimhan, predecessorAsGovernorOfChhattisgarh, K. M. Seth]
Generated description
K. M. Seth is an Indian politician and administrator who served as the Governor of Chhattisgarh.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: predecessorAsGovernorOfChhattisgarh
Context triple: [E. S. L. Narasimhan, predecessorAsGovernorOfChhattisgarh, K. M. Seth]
  • A. predecessorAsGovernorOfAndhraPradesh
    Indicates that one entity previously held the position of Governor of Andhra Pradesh immediately before another entity.
  • B. predecessorAsGovernorOfTelangana
    Indicates that one person previously held the office of Governor of Telangana immediately before another person.
  • C. precededInOfficeAsGovernorBy
    Indicates that one individual assumed the role of governor after another specific individual, who held the office immediately before them.
  • D. termAsGovernorOfChhattisgarhEnded
    Indicates that an individual's tenure in the position of Governor of Chhattisgarh has concluded.
  • E. predecessorInOffice chosen
    Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
  • F. None of above.

Provenance (6 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_69f76e5dada881909da2d34bc7a9202a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fe08d2b2e48190ac7be6d62d4a44a3 completed May 8, 2026, 4:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbd93324819089b71b0d5afd04ab completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39dcad4370819093a89f7a64c1b4dc completed June 23, 2026, 1:09 a.m.
NED2 Entity disambiguation (via description) batch_6a39e1c8a4d48190b23a4a436f08893f completed June 23, 2026, 1:30 a.m.
PD Predicate disambiguation batch_69fe06cd3af08190ae25de0dc0cdd573 completed May 8, 2026, 3:52 p.m.
Created at: May 3, 2026, 4:10 p.m.