Triple

T9223033
Position Surface form Disambiguated ID Type / Status
Subject Anura Bandaranaike E221609 entity
Predicate givenName P17 FINISHED
Object Anura
Anura is a masculine given name commonly used in Sri Lanka and other South Asian countries.
 E784952 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: Anura | Statement: [Anura Bandaranaike, givenName, Anura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anura
Context triple: [Anura Bandaranaike, givenName, Anura]
  • A. Rana
    Rana is a large municipality in Nordland county, Norway, known for the town of Mo i Rana and its dramatic fjords, mountains, and caves just south of the Arctic Circle.
  • B. Rana
    Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • C. Rana
    Rana is a large and widespread genus of true frogs that includes many familiar pond and stream-dwelling species found across much of the world.
  • D. Yaudheya
    Yaudheya is a relatively lesser-known figure in the Mahabharata tradition, remembered primarily as a son of the Pandava king Yudhishthira.
  • E. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • 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: Anura
Triple: [Anura Bandaranaike, givenName, Anura]
Generated description
Anura is a masculine given name commonly used in Sri Lanka and other South Asian countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anura
Target entity description: Anura is a masculine given name commonly used in Sri Lanka and other South Asian countries.
  • A. Rana
    Rana is a large municipality in Nordland county, Norway, known for the town of Mo i Rana and its dramatic fjords, mountains, and caves just south of the Arctic Circle.
  • B. Rana
    Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • C. Rana
    Rana is a large and widespread genus of true frogs that includes many familiar pond and stream-dwelling species found across much of the world.
  • D. Yaudheya
    Yaudheya is a relatively lesser-known figure in the Mahabharata tradition, remembered primarily as a son of the Pandava king Yudhishthira.
  • E. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda7903208190b4e29a1591aab78a completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0664565748190a45cf382fca72cbe completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d06771ba808190a7b10f664425e76e completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d068087ab881908edcfd384a2e3f07 completed April 4, 2026, 1:23 a.m.
Created at: March 30, 2026, 7:28 p.m.