Triple

T2345928
Position Surface form Disambiguated ID Type / Status
Subject Munetaka Murakami E45130 entity
Predicate givenName P17 FINISHED
Object Munetaka
Munetaka is a Japanese professional baseball slugger best known for his record-setting home run power in Nippon Professional Baseball.
E310582 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: Munetaka | Statement: [Munetaka Murakami, givenName, Munetaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munetaka
Context triple: [Munetaka Murakami, givenName, Munetaka]
  • A. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • B. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • C. Akinobu
    Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
  • D. Masahito
    Masahito is the personal name of Prince Hitachi, a member of the Japanese imperial family and younger brother of Emperor Emeritus Akihito.
  • E. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • 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: Munetaka
Triple: [Munetaka Murakami, givenName, Munetaka]
Generated description
Munetaka is a Japanese professional baseball slugger best known for his record-setting home run power in Nippon Professional Baseball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Munetaka
Target entity description: Munetaka is a Japanese professional baseball slugger best known for his record-setting home run power in Nippon Professional Baseball.
  • A. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • B. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • C. Akinobu
    Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
  • D. Masahito
    Masahito is the personal name of Prince Hitachi, a member of the Japanese imperial family and younger brother of Emperor Emeritus Akihito.
  • E. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c7cb9481909405aeb503f804ae completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0559d1e708190bc8d28ed3706ae23 completed March 10, 2026, 5:32 p.m.
NEDg Description generation batch_69b0600b4d588190b95be97da3ac0842 completed March 10, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_69b062a6241c81909f3217a4a33aa4c6 completed March 10, 2026, 6:27 p.m.
Created at: March 4, 2026, 7:52 p.m.