Triple

T22603139
Position Surface form Disambiguated ID Type / Status
Subject Emperor Go-Daigo E574882 entity
Predicate eraName P2938 FINISHED
Object Gen’ō
Gen’ō was a short-lived Japanese era in the early 14th century, occurring just before the Kenmu Restoration and the fall of the Kamakura shogunate.
E1544510 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: Gen’ō | Statement: [Emperor Go-Daigo, eraName, Gen’ō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gen’ō
Context triple: [Emperor Go-Daigo, eraName, Gen’ō]
  • A. Genshō
    Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
  • B. Seishi
    Seishi is a Japanese given name historically borne by figures such as Fujiwara no Seishi, a noblewoman of the Heian period.
  • C. Gen’ei
    Gen’ei was a Japanese era name (nengō) used during the reign of Emperor Toba in the early 12th century.
  • D. Hara Kei
    Hara Kei was a Japanese politician and statesman who served as Prime Minister of Japan in the early 20th century and was notable as the first commoner to hold the office.
  • E. Unkei
    Unkei was a renowned Japanese Buddhist sculptor of the late Heian and early Kamakura periods, celebrated for his powerful, realistic wooden statues of deities and guardians.
  • 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: Gen’ō
Triple: [Emperor Go-Daigo, eraName, Gen’ō]
Generated description
Gen’ō was a short-lived Japanese era in the early 14th century, occurring just before the Kenmu Restoration and the fall of the Kamakura shogunate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gen’ō
Target entity description: Gen’ō was a short-lived Japanese era in the early 14th century, occurring just before the Kenmu Restoration and the fall of the Kamakura shogunate.
  • A. Genshō
    Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
  • B. Seishi
    Seishi is a Japanese given name historically borne by figures such as Fujiwara no Seishi, a noblewoman of the Heian period.
  • C. Gen’ei
    Gen’ei was a Japanese era name (nengō) used during the reign of Emperor Toba in the early 12th century.
  • D. Hara Kei
    Hara Kei was a Japanese politician and statesman who served as Prime Minister of Japan in the early 20th century and was notable as the first commoner to hold the office.
  • E. Unkei
    Unkei was a renowned Japanese Buddhist sculptor of the late Heian and early Kamakura periods, celebrated for his powerful, realistic wooden statues of deities and guardians.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626eb178819096866d03a78f82fc completed April 29, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d682f5081909814d3fd294221d9 completed May 18, 2026, 4:25 p.m.
NEDg Description generation batch_6a0b3e9fac2c819085c7b7f2ee0abe17 completed May 18, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f7afd2c81908c40d6479a826c22 completed May 18, 2026, 4:34 p.m.
Created at: April 17, 2026, 2:51 p.m.