Triple

T19306010
Position Surface form Disambiguated ID Type / Status
Subject Benkei E482828 entity
Predicate familyName P18 FINISHED
Object Musashibō
Musashibō is the family name of the legendary Japanese warrior monk Benkei, famed for his loyalty and strength in medieval samurai lore.
 E1371992 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: Musashibō | Statement: [Benkei, familyName, Musashibō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Musashibō
Context triple: [Benkei, familyName, Musashibō]
  • A. Mashū-ko
    Mashū-ko is a caldera lake in Hokkaido, Japan, renowned for its exceptional water clarity and scenic volcanic surroundings.
  • B. Matsugaya
    Matsugaya is a neighborhood in Tokyo’s Taitō ward known for its traditional shitamachi atmosphere and proximity to Asakusa.
  • C. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • D. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • E. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • 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: Musashibō
Triple: [Benkei, familyName, Musashibō]
Generated description
Musashibō is the family name of the legendary Japanese warrior monk Benkei, famed for his loyalty and strength in medieval samurai lore.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Musashibō
Target entity description: Musashibō is the family name of the legendary Japanese warrior monk Benkei, famed for his loyalty and strength in medieval samurai lore.
  • A. Mashū-ko
    Mashū-ko is a caldera lake in Hokkaido, Japan, renowned for its exceptional water clarity and scenic volcanic surroundings.
  • B. Matsugaya
    Matsugaya is a neighborhood in Tokyo’s Taitō ward known for its traditional shitamachi atmosphere and proximity to Asakusa.
  • C. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • D. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • E. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c84fe08190869463bdd0324160 completed April 20, 2026, 10:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0723fd9abc819091665dde00e3884d completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a07250f236c8190b32adebcae3745af completed May 15, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0726a79b308190a584bc808f4b2faa completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:31 p.m.