Triple

T13494411
Position Surface form Disambiguated ID Type / Status
Subject Emperor Toba E320721 entity
Predicate eraNameUsed P2938 FINISHED
Object Ten’yō
Ten’yō was a short Japanese era of the late Heian period that followed Daiji and preceded Kyūan, during the reign of Emperor Toba.
 E1043308 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’yō | Statement: [Emperor Toba, eraNameUsed, Ten’yō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ten’yō
Context triple: [Emperor Toba, eraNameUsed, Ten’yō]
  • A. Tōyō
    Tōyō is the given name of Sesshū Tōyō, a renowned Japanese Zen Buddhist monk and master of ink painting during the Muromachi period.
  • B. Nihondaira
    Nihondaira is a scenic plateau in Shizuoka Prefecture, Japan, famed for its panoramic views of Mount Fuji, Suruga Bay, and the surrounding tea fields.
  • C. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • D. Taketoyo
    Taketoyo is a coastal town in central Japan known for its industrial facilities and location within Aichi Prefecture.
  • E. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • 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’yō
Triple: [Emperor Toba, eraNameUsed, Ten’yō]
Generated description
Ten’yō was a short Japanese era of the late Heian period that followed Daiji and preceded Kyūan, during the reign of Emperor Toba.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ten’yō
Target entity description: Ten’yō was a short Japanese era of the late Heian period that followed Daiji and preceded Kyūan, during the reign of Emperor Toba.
  • A. Tōyō
    Tōyō is the given name of Sesshū Tōyō, a renowned Japanese Zen Buddhist monk and master of ink painting during the Muromachi period.
  • B. Nihondaira
    Nihondaira is a scenic plateau in Shizuoka Prefecture, Japan, famed for its panoramic views of Mount Fuji, Suruga Bay, and the surrounding tea fields.
  • C. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • D. Taketoyo
    Taketoyo is a coastal town in central Japan known for its industrial facilities and location within Aichi Prefecture.
  • E. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • 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.