Triple

T3810598
Position Surface form Disambiguated ID Type / Status
Subject Takako Doi E93123 entity
Predicate familyName P18 FINISHED
Object Doi
Doi is a Japanese surname borne by various notable figures in politics, sports, and the arts.
 E390896 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: Doi | Statement: [Takako Doi, familyName, Doi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doi
Context triple: [Takako Doi, familyName, Doi]
  • A. Cosia
    Cosia is a small river in northern Italy that flows through the city of Como before emptying into Lake Como.
  • B. Rumuosi
    Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
  • C. Tribeni
    Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
  • D. Дьокуускай
    Дьокуускай is the Sakha (Yakut) name for Yakutsk, the capital city of Russia’s Sakha Republic in northeastern Siberia.
  • E. Donuzlav
    Donuzlav is a deep-water lagoon and naval harbor in western Crimea that serves as a strategic base for Russian Black Sea naval operations.
  • 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: Doi
Triple: [Takako Doi, familyName, Doi]
Generated description
Doi is a Japanese surname borne by various notable figures in politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Doi
Target entity description: Doi is a Japanese surname borne by various notable figures in politics, sports, and the arts.
  • A. Cosia
    Cosia is a small river in northern Italy that flows through the city of Como before emptying into Lake Como.
  • B. Rumuosi
    Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
  • C. Tribeni
    Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
  • D. Дьокуускай
    Дьокуускай is the Sakha (Yakut) name for Yakutsk, the capital city of Russia’s Sakha Republic in northeastern Siberia.
  • E. Donuzlav
    Donuzlav is a deep-water lagoon and naval harbor in western Crimea that serves as a strategic base for Russian Black Sea naval operations.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80e178081908cff71223bbf6c43 completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb373ce4819082e2d6d6c204c392 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fc6683848190a332fcb37df77934 completed March 14, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_69b4fcc395ec8190a781e982b935c2f6 completed March 14, 2026, 6:14 a.m.
Created at: March 9, 2026, 3:16 p.m.