Triple

T15547910
Position Surface form Disambiguated ID Type / Status
Subject Seishirō E370660 entity
Predicate hasNameElement P3097 FINISHED
Object shirō
Shirō is a common Japanese masculine given name that can be written with various kanji characters, often associated with meanings like "fourth son" or other context-dependent nuances.
 E1163833 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: shirō | Statement: [Seishirō, hasNameElement, shirō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: shirō
Context triple: [Seishirō, hasNameElement, shirō]
  • A. Sanshirō
    Sanshirō is a classic Japanese novel by Natsume Sōseki that follows a naive young man's coming-of-age journey after moving from the countryside to Tokyo in the early 20th century.
  • B. Shiroda
    Shiroda is a village in the Vengurla taluka of Maharashtra’s Sindhudurg district, known for its coastal Konkan setting and traditional Maharashtrian culture.
  • C. shi
    shi is the ISO 639-3 code for Tachelhit, a Berber language spoken primarily in southwestern Morocco.
  • D. Shou
    Shou is the personal name of King Zhou of Shang, the last ruler of China’s Shang dynasty, often depicted in tradition as a tyrannical and decadent monarch.
  • E. Shndo
    Shndo is a music producer best known for working on Justin Bieber’s hit single "Peaches."
  • 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: shirō
Triple: [Seishirō, hasNameElement, shirō]
Generated description
Shirō is a common Japanese masculine given name that can be written with various kanji characters, often associated with meanings like "fourth son" or other context-dependent nuances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: shirō
Target entity description: Shirō is a common Japanese masculine given name that can be written with various kanji characters, often associated with meanings like "fourth son" or other context-dependent nuances.
  • A. Sanshirō
    Sanshirō is a classic Japanese novel by Natsume Sōseki that follows a naive young man's coming-of-age journey after moving from the countryside to Tokyo in the early 20th century.
  • B. Shiroda
    Shiroda is a village in the Vengurla taluka of Maharashtra’s Sindhudurg district, known for its coastal Konkan setting and traditional Maharashtrian culture.
  • C. shi
    shi is the ISO 639-3 code for Tachelhit, a Berber language spoken primarily in southwestern Morocco.
  • D. Shou
    Shou is the personal name of King Zhou of Shang, the last ruler of China’s Shang dynasty, often depicted in tradition as a tyrannical and decadent monarch.
  • E. Shndo
    Shndo is a music producer best known for working on Justin Bieber’s hit single "Peaches."
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9073948190b6e9cf504aacc7cf completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455c172c8190833274cb98667e84 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff469e47fc819099d08f780ad81bf5 completed May 9, 2026, 2:37 p.m.
NED2 Entity disambiguation (via description) batch_69ff47aeddac8190a87024019ecb1396 completed May 9, 2026, 2:41 p.m.
Created at: April 10, 2026, 4:08 a.m.