Triple

T3505183
Position Surface form Disambiguated ID Type / Status
Subject Kalpana Chawla E74058 entity
Predicate givenName P17 FINISHED
Object Kalpana
Kalpana is a feminine given name of Indian origin, notably borne by astronaut Kalpana Chawla.
 E363997 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: Kalpana | Statement: [Kalpana Chawla, givenName, Kalpana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kalpana
Context triple: [Kalpana Chawla, givenName, Kalpana]
  • A. Shipra
    Shipra is a sacred river in the Indian state of Madhya Pradesh, especially revered in Ujjain as a major Hindu pilgrimage site.
  • B. Vandana
    Vandana is the first name of Vandana Shiva, an Indian scholar, environmental activist, and advocate of ecofeminism and sustainable agriculture.
  • C. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • D. Kumudavathi
    Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
  • E. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • 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: Kalpana
Triple: [Kalpana Chawla, givenName, Kalpana]
Generated description
Kalpana is a feminine given name of Indian origin, notably borne by astronaut Kalpana Chawla.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kalpana
Target entity description: Kalpana is a feminine given name of Indian origin, notably borne by astronaut Kalpana Chawla.
  • A. Shipra
    Shipra is a sacred river in the Indian state of Madhya Pradesh, especially revered in Ujjain as a major Hindu pilgrimage site.
  • B. Vandana
    Vandana is the first name of Vandana Shiva, an Indian scholar, environmental activist, and advocate of ecofeminism and sustainable agriculture.
  • C. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • D. Kumudavathi
    Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
  • E. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf38e988190998d722b95830411 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373de0a34819096701e24409a08bb completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b377dfd2308190b2762715fa098260 completed March 13, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_69b37850f18081908ee893dd4cedc183 completed March 13, 2026, 2:37 a.m.
Created at: March 8, 2026, 3:18 p.m.