Triple

T12487763
Position Surface form Disambiguated ID Type / Status
Subject Rana Hussein E298480 entity
Predicate givenName P17 FINISHED
Object Rana
Rana is a feminine given name of Arabic origin commonly used across the Middle East and other regions.
 E986012 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: Rana | Statement: [Rana Hussein, givenName, Rana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rana
Context triple: [Rana Hussein, givenName, Rana]
  • A. 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.
  • 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 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.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Anura
    Anura is a masculine given name commonly used in Sri Lanka and other South Asian countries.
  • 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: Rana
Triple: [Rana Hussein, givenName, Rana]
Generated description
Rana is a feminine given name of Arabic origin commonly used across the Middle East and other regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rana
Target entity description: Rana is a feminine given name of Arabic origin commonly used across the Middle East and other regions.
  • A. Rana
    Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • B. 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.
  • C. 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.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Anura
    Anura is a masculine given name commonly used in Sri Lanka and other South Asian countries.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de077bc81908b5ff057a1bf2b4f completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba7d8bc8190acc1f0d537a5bbbb completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c7c5d04819094fcbee0a4b5cbb4 completed May 2, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f64d653b988190b11d061f55ef7192 completed May 2, 2026, 7:15 p.m.
Created at: April 8, 2026, 9:56 p.m.