Triple

T14270577
Position Surface form Disambiguated ID Type / Status
Subject San E353771 entity
Predicate alternativeName P39 FINISHED
Object Sho
Sho is a given name commonly used in Japan, often for males, and can be written with various kanji characters that convey different meanings.
 E1089400 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: Sho | Statement: [San, alternativeName, Sho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sho
Context triple: [San, alternativeName, Sho]
  • A. 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.
  • B. Shon
    Shon is a given name that functions as an alternative spelling of the more common name Shaun (or Sean).
  • C. Shoki
    "Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
  • D. Shin
    Shin is a fictional character voiced by American actress and singer Ashley Johnson, known for her versatile roles in animation and video games.
  • E. Shin
    Shin is a common Japanese given name element that often conveys meanings like “truth,” “new,” or “heart,” depending on the kanji used.
  • 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: Sho
Triple: [San, alternativeName, Sho]
Generated description
Sho is a given name commonly used in Japan, often for males, and can be written with various kanji characters that convey different meanings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sho
Target entity description: Sho is a given name commonly used in Japan, often for males, and can be written with various kanji characters that convey different meanings.
  • A. 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.
  • B. Shon
    Shon is a given name that functions as an alternative spelling of the more common name Shaun (or Sean).
  • C. Shoki
    "Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
  • D. Shin
    Shin is a common Japanese given name element that often conveys meanings like “truth,” “new,” or “heart,” depending on the kanji used.
  • E. Shin
    Shin is a fictional character voiced by American actress and singer Ashley Johnson, known for her versatile roles in animation and video games.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32682a0481908918570a778e185a completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd3325e8448190960da169f7f9fe40 completed May 8, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd33fd92608190a0dcaaafe0cfc51a completed May 8, 2026, 12:53 a.m.
Created at: April 10, 2026, 1:10 a.m.