Triple

T13494405
Position Surface form Disambiguated ID Type / Status
Subject Emperor Toba E320721 entity
Predicate eraNameUsed P2938 FINISHED
Object Daiji
Daiji was a Japanese era name (nengō) used during the reign of Emperor Toba in the early 12th century.
 E1043307 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: Daiji | Statement: [Emperor Toba, eraNameUsed, Daiji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daiji
Context triple: [Emperor Toba, eraNameUsed, Daiji]
  • A. Savindan
    Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
  • B. Jai
    Jai is an Indian actor best known for his work in Tamil cinema, particularly for his breakout performance in the critically acclaimed film "Subramaniapuram."
  • C. Jai
    Jai is the given name of Australian actor Jai Courtney, known for his roles in action and blockbuster films.
  • D. Daji
    Daji is a legendary figure in Chinese mythology, often depicted as a beautiful but malevolent consort whose influence is blamed for the downfall of the Shang dynasty.
  • E. Udayan
    Udayan is a central figure in Jhumpa Lahiri’s novel "The Lowland," whose radical political involvement and complex family relationships drive much of the story’s emotional and moral conflict.
  • 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: Daiji
Triple: [Emperor Toba, eraNameUsed, Daiji]
Generated description
Daiji was a Japanese era name (nengō) used during the reign of Emperor Toba in the early 12th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daiji
Target entity description: Daiji was a Japanese era name (nengō) used during the reign of Emperor Toba in the early 12th century.
  • A. Savindan
    Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
  • B. Jai
    Jai is an Indian actor best known for his work in Tamil cinema, particularly for his breakout performance in the critically acclaimed film "Subramaniapuram."
  • C. Jai
    Jai is the given name of Australian actor Jai Courtney, known for his roles in action and blockbuster films.
  • D. Daji
    Daji is a legendary figure in Chinese mythology, often depicted as a beautiful but malevolent consort whose influence is blamed for the downfall of the Shang dynasty.
  • E. Udayan
    Udayan is a central figure in Jhumpa Lahiri’s novel "The Lowland," whose radical political involvement and complex family relationships drive much of the story’s emotional and moral conflict.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4da2c88190a867b53529d39545 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463d3a948190aab07a25fd903d4e completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f7496187988190b42e51f192cd4a80 completed May 3, 2026, 1:10 p.m.
NED2 Entity disambiguation (via description) batch_69f74a0420908190b2b4988cc4d4a20a completed May 3, 2026, 1:13 p.m.
Created at: April 9, 2026, 9:43 p.m.