Triple

T18224763
Position Surface form Disambiguated ID Type / Status
Subject Tani Tateki E436394 entity
Predicate givenName P17 FINISHED
Object Tateki
Tateki is a Japanese given name that can be borne by various individuals, including historical and contemporary figures.
 E1312728 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: Tateki | Statement: [Tani Tateki, givenName, Tateki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tateki
Context triple: [Tani Tateki, givenName, Tateki]
  • A. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • B. Tatsugō
    Tatsugō is a small town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical climate and island scenery.
  • C. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • D. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • E. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • 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: Tateki
Triple: [Tani Tateki, givenName, Tateki]
Generated description
Tateki is a Japanese given name that can be borne by various individuals, including historical and contemporary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tateki
Target entity description: Tateki is a Japanese given name that can be borne by various individuals, including historical and contemporary figures.
  • A. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • B. Tatsugō
    Tatsugō is a small town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical climate and island scenery.
  • C. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • D. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • E. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47e5e8c819095454b6557a5d5a5 completed April 19, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f1fd2e48190b7d20d3b72d61e7a completed May 12, 2026, 9:44 p.m.
NEDg Description generation batch_6a039fcd9548819088b6f89a24e5f14e completed May 12, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a03a14b22208190b4f18bff55367dc9 completed May 12, 2026, 9:53 p.m.
Created at: April 10, 2026, 10:32 a.m.