Triple

T13494410
Position Surface form Disambiguated ID Type / Status
Subject Emperor Toba E320721 entity
Predicate eraNameUsed P2938 FINISHED
Object Kōji
Kōji was a brief Japanese era of the late Heian period that followed Ten'yō and preceded Tenji, occurring during the reign of Emperor Toba.
 E1114703 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: Kōji | Statement: [Emperor Toba, eraNameUsed, Kōji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kōji
Context triple: [Emperor Toba, eraNameUsed, Kōji]
  • A. Kōji
    Kōji is a Japanese masculine given name commonly used in various kanji spellings with meanings that vary depending on the characters chosen.
  • B. Koichi
    Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
  • C. Ryoji
    Ryoji is a Japanese given name commonly used for males.
  • D. Kodama Kōji
    Kodama Kōji is a Japanese individual notable for bearing the surname Kodama, likely recognized for contributions in a specific professional or cultural field.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • 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: Kōji
Triple: [Emperor Toba, eraNameUsed, Kōji]
Generated description
Kōji was a brief Japanese era of the late Heian period that followed Ten'yō and preceded Tenji, occurring during the reign of Emperor Toba.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kōji
Target entity description: Kōji was a brief Japanese era of the late Heian period that followed Ten'yō and preceded Tenji, occurring during the reign of Emperor Toba.
  • A. Kōji
    Kōji is a Japanese masculine given name commonly used in various kanji spellings with meanings that vary depending on the characters chosen.
  • B. Koichi
    Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
  • C. Ryoji
    Ryoji is a Japanese given name commonly used for males.
  • D. Kodama Kōji
    Kodama Kōji is a Japanese individual notable for bearing the surname Kodama, likely recognized for contributions in a specific professional or cultural field.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • 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_69fdf06a3e208190a24e6cd9cb97e99c completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf15993e88190af2915db1584dfa1 completed May 8, 2026, 2:21 p.m.
NED2 Entity disambiguation (via description) batch_69fdf1c407208190a0b544d98551319f completed May 8, 2026, 2:23 p.m.
Created at: April 9, 2026, 9:43 p.m.