Triple

T17951373
Position Surface form Disambiguated ID Type / Status
Subject Kashyapa E448838 entity
Predicate spouse P13 FINISHED
Object Syeni
Syeni is a figure from Hindu mythology known primarily as one of the wives of the sage Kashyapa.
 E1298932 NE FINISHED

How this triple was built (4 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: Syeni | Statement: [Kashyapa, spouse, Syeni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Syeni
Context triple: [Kashyapa, spouse, Syeni]
  • A. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • B. Sinnai
    Sinnai is a town and comune in southern Sardinia, Italy, known for its traditional culture and proximity to the island’s capital, Cagliari.
  • C. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • D. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • E. Sarayan
    Sarayan is a small city in eastern Iran known as an administrative and agricultural center within South Khorasan Province.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Syeni
Triple: [Kashyapa, spouse, Syeni]
Generated description
Syeni is a figure from Hindu mythology known primarily as one of the wives of the sage Kashyapa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Syeni
Target entity description: Syeni is a figure from Hindu mythology known primarily as one of the wives of the sage Kashyapa.
  • A. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • B. Sinnai
    Sinnai is a town and comune in southern Sardinia, Italy, known for its traditional culture and proximity to the island’s capital, Cagliari.
  • C. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • D. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • E. Sarayan
    Sarayan is a small city in eastern Iran known as an administrative and agricultural center within South Khorasan Province.
  • F. None of above. chosen

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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afac95048190a5d1ef012899c62b completed April 19, 2026, 10:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0330099eb48190ae81eeceed035c48 completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a03310fd4608190b8c23df661ddc2ad completed May 12, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a03330f373c81908bb2418dfbeec74f completed May 12, 2026, 2:02 p.m.
Created at: April 10, 2026, 10:21 a.m.