Triple

T17761231
Position Surface form Disambiguated ID Type / Status
Subject Tetsuzō E443377 entity
Predicate usedPseudonym P3799 FINISHED
Object Taito
Taito is the pseudonym of Tetsuzō, under which he is known for his creative and professional work.
E1287135 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: Taito | Statement: [Tetsuzō, usedPseudonym, Taito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taito
Context triple: [Tetsuzō, usedPseudonym, Taito]
  • A. Taitō
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • B. Tunechi
    Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
  • C. Touki Bouki
    Touki Bouki is a 1973 Senegalese avant-garde road film by Djibril Diop Mambéty, celebrated for its innovative style and critique of postcolonial society.
  • D. Santok
    Santok is a historic village in western Poland, long known as a strategic fortified settlement at the confluence of the Noteć and Warta rivers.
  • E. Tapa
    Tapa is an ethnic group in central Nigeria, more commonly known as the Nupe people, recognized for their rich cultural traditions, crafts, and historical kingdom along the Niger River.
  • 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: Taito
Triple: [Tetsuzō, usedPseudonym, Taito]
Generated description
Taito is the pseudonym of Tetsuzō, under which he is known for his creative and professional work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taito
Target entity description: Taito is the pseudonym of Tetsuzō, under which he is known for his creative and professional work.
  • A. Taitō
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • B. Tunechi
    Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
  • C. Touki Bouki
    Touki Bouki is a 1973 Senegalese avant-garde road film by Djibril Diop Mambéty, celebrated for its innovative style and critique of postcolonial society.
  • D. Santok
    Santok is a historic village in western Poland, long known as a strategic fortified settlement at the confluence of the Noteć and Warta rivers.
  • E. Tapa
    Tapa is an ethnic group in central Nigeria, more commonly known as the Nupe people, recognized for their rich cultural traditions, crafts, and historical kingdom along the Niger River.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485f7a8e08190a4a6b8368b70c381 completed April 19, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efbaa62c81908870dba8f0e2e55d completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f1232f348190ab28e8d5ed4d3ad3 completed May 12, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_6a02f18beeb88190ac8cb9540b6b7b88 completed May 12, 2026, 9:23 a.m.
Created at: April 10, 2026, 10:11 a.m.