Triple

T11622927
Position Surface form Disambiguated ID Type / Status
Subject Tadahiko E276185 entity
Predicate nameComponent P5298 FINISHED
Object Tada
Tada is a Japanese given name component commonly used in masculine names.
 E938216 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: Tada | Statement: [Tadahiko, nameComponent, Tada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tada
Context triple: [Tadahiko, nameComponent, Tada]
  • A. Tada-U
    Tada-U is a town in central Myanmar located within the Mandalay Region, known for its proximity to Mandalay city and its role as a local administrative and transport hub.
  • B. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • C. Tad
    Tad is an American grunge band from Seattle, known for their heavy, sludgy sound and association with the late-1980s/early-1990s Sub Pop scene.
  • D. TAD
    TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
  • E. TAD
    TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
  • 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: Tada
Triple: [Tadahiko, nameComponent, Tada]
Generated description
Tada is a Japanese given name component commonly used in masculine names.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tada
Target entity description: Tada is a Japanese given name component commonly used in masculine names.
  • A. Tada-U
    Tada-U is a town in central Myanmar located within the Mandalay Region, known for its proximity to Mandalay city and its role as a local administrative and transport hub.
  • B. Tad
    Tad is an American grunge band from Seattle, known for their heavy, sludgy sound and association with the late-1980s/early-1990s Sub Pop scene.
  • C. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • D. TAD
    TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
  • E. TAD
    TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee8762586481909a4b563c827487e0 completed April 26, 2026, 9:45 p.m.
NEDg Description generation batch_69eeb310e04c8190a1004662d5bbc015 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee95dfff48190a3c3022cdfc6dafc completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:39 p.m.