Triple

T8759363
Position Surface form Disambiguated ID Type / Status
Subject Tatsumi Fujinami E208155 entity
Predicate givenName P17 FINISHED
Object Tatsumi
Tatsumi is a masculine Japanese given name commonly used for boys and borne by various notable figures in Japan.
 E795410 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: Tatsumi | Statement: [Tatsumi Fujinami, givenName, Tatsumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tatsumi
Context triple: [Tatsumi Fujinami, givenName, Tatsumi]
  • A. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • B. Tateishi
    Tateishi is a neighborhood in Tokyo known for its traditional shitamachi atmosphere, narrow shopping streets, and old-style bars and eateries.
  • C. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • D. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • E. Toshiaki
    Toshiaki is a Japanese masculine given name commonly used for men and boys 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: Tatsumi
Triple: [Tatsumi Fujinami, givenName, Tatsumi]
Generated description
Tatsumi is a masculine Japanese given name commonly used for boys and borne by various notable figures in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tatsumi
Target entity description: Tatsumi is a masculine Japanese given name commonly used for boys and borne by various notable figures in Japan.
  • A. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • B. Tateishi
    Tateishi is a neighborhood in Tokyo known for its traditional shitamachi atmosphere, narrow shopping streets, and old-style bars and eateries.
  • C. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • D. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • E. Toshiaki
    Toshiaki is a Japanese masculine given name commonly used for men and boys 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5df81c58819089af99306e103dbb completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100a931988190aaff56f16057ea90 completed April 4, 2026, 12:14 p.m.
NEDg Description generation batch_69d10144380481909ef3f68f621c0be7 completed April 4, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69d1019faa188190a8945d469a763207 completed April 4, 2026, 12:18 p.m.
Created at: March 30, 2026, 6:40 p.m.