Triple

T13494400
Position Surface form Disambiguated ID Type / Status
Subject Emperor Toba E320721 entity
Predicate eraNameUsed P2938 FINISHED
Object Ten’ei
Ten’ei was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
 E1048946 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: Ten’ei | Statement: [Emperor Toba, eraNameUsed, Ten’ei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ten’ei
Context triple: [Emperor Toba, eraNameUsed, Ten’ei]
  • A. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • B. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • C. Tagaeri
    The Tagaeri are an uncontacted Indigenous group living in voluntary isolation in the Ecuadorian Amazon, known for resisting outside contact and encroachment on their territory.
  • D. Towa
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • 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: Ten’ei
Triple: [Emperor Toba, eraNameUsed, Ten’ei]
Generated description
Ten’ei was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ten’ei
Target entity description: Ten’ei was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
  • A. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • B. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • C. Tagaeri
    The Tagaeri are an uncontacted Indigenous group living in voluntary isolation in the Ecuadorian Amazon, known for resisting outside contact and encroachment on their territory.
  • D. Towa
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • 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_69f76ba566c48190808857dd0bc3a871 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f7763fc23c819098d46ab0906b8764 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7792110e48190a29b6e89c6ebcc03 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:43 p.m.