Triple

T19009822
Position Surface form Disambiguated ID Type / Status
Subject Shōhō E465190 entity
Predicate followedBy P78 FINISHED
Object Keian
Keian was a Japanese era name (nengō) of the Edo period, spanning the mid-17th century during the rule of the Tokugawa shogunate.
 E1355837 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: Keian | Statement: [Shōhō, followedBy, Keian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keian
Context triple: [Shōhō, followedBy, Keian]
  • A. Hoeidō
    Hoeidō was a prominent Edo-period Japanese publishing house best known for issuing ukiyo-e print series, including Hiroshige’s celebrated "The Fifty-three Stations of the Tōkaidō."
  • B. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • C. Keiō
    Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
  • D. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • E. Gyōkyō
    Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
  • 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: Keian
Triple: [Shōhō, followedBy, Keian]
Generated description
Keian was a Japanese era name (nengō) of the Edo period, spanning the mid-17th century during the rule of the Tokugawa shogunate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keian
Target entity description: Keian was a Japanese era name (nengō) of the Edo period, spanning the mid-17th century during the rule of the Tokugawa shogunate.
  • A. Hoeidō
    Hoeidō was a prominent Edo-period Japanese publishing house best known for issuing ukiyo-e print series, including Hiroshige’s celebrated "The Fifty-three Stations of the Tōkaidō."
  • B. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • C. Keiō
    Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
  • D. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • E. Gyōkyō
    Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a8225c81908e80ae7eb1c1301b completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c54064688190a9b4a08d119f3265 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c7d2be608190b1ddbdf2f01a45dd completed May 14, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_6a05c85c15ac819085ce32b4018f1edf completed May 14, 2026, 1:04 p.m.
Created at: April 10, 2026, 12:02 p.m.