Triple

T17581457
Position Surface form Disambiguated ID Type / Status
Subject Emperor Uda E428212 entity
Predicate eraNameUsed P2938 FINISHED
Object Ninna
Ninna was a Japanese era name (nengō) of the Heian period, used during the reign of Emperor Uda.
 E1276374 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: Ninna | Statement: [Emperor Uda, eraNameUsed, Ninna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ninna
Context triple: [Emperor Uda, eraNameUsed, Ninna]
  • A. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • B. Nita
    Nita is a feminine given name commonly used as a shortened or affectionate form of longer names such as Juanita.
  • C. Nina
    Nina is a feminine given name used in various cultures, often as a short form of names like Antonina or Giannina, and borne by numerous notable figures in the arts and public life.
  • D. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • E. Nina
    Nina is a central character in the British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
  • 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: Ninna
Triple: [Emperor Uda, eraNameUsed, Ninna]
Generated description
Ninna was a Japanese era name (nengō) of the Heian period, used during the reign of Emperor Uda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ninna
Target entity description: Ninna was a Japanese era name (nengō) of the Heian period, used during the reign of Emperor Uda.
  • A. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • B. Nita
    Nita is a feminine given name commonly used as a shortened or affectionate form of longer names such as Juanita.
  • C. Nina
    Nina is a feminine given name used in various cultures, often as a short form of names like Antonina or Giannina, and borne by numerous notable figures in the arts and public life.
  • D. Nina
    Nina is a central character in the British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
  • E. Nina
    Nina is a biographical drama film written and directed by Cynthia Mort that portrays the life and struggles of legendary musician Nina Simone.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463ce8eb081909257be47d150aa04 completed April 19, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01ddef82d48190a5940f7da646c380 completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01de93c1448190aa2328919d407252 completed May 11, 2026, 1:50 p.m.
NED2 Entity disambiguation (via description) batch_6a01e05515d88190b343ebc1aad4a351 completed May 11, 2026, 1:57 p.m.
Created at: April 10, 2026, 5:50 a.m.