Triple

T16837260
Position Surface form Disambiguated ID Type / Status
Subject Mibu no Tadamine E409314 entity
Predicate givenName P17 FINISHED
Object Tadamine
Tadamine is a Japanese given name historically borne by figures such as the Heian-period waka poet Mibu no Tadamine.
 E1237453 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: Tadamine | Statement: [Mibu no Tadamine, givenName, Tadamine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tadamine
Context triple: [Mibu no Tadamine, givenName, Tadamine]
  • A. Tadoe
    Tadoe is an American rapper from Chicago known for his involvement in the drill music scene and frequent collaborations with artists like Chief Keef and Young Chop.
  • B. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • C. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • D. Tamahine
    Tamahine is a 1963 British comedy film in which Nancy Kwan stars as a free-spirited Polynesian girl who disrupts life at an English boys' boarding school.
  • E. Tainaste
    Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
  • 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: Tadamine
Triple: [Mibu no Tadamine, givenName, Tadamine]
Generated description
Tadamine is a Japanese given name historically borne by figures such as the Heian-period waka poet Mibu no Tadamine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tadamine
Target entity description: Tadamine is a Japanese given name historically borne by figures such as the Heian-period waka poet Mibu no Tadamine.
  • A. Tadoe
    Tadoe is an American rapper from Chicago known for his involvement in the drill music scene and frequent collaborations with artists like Chief Keef and Young Chop.
  • B. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • C. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • D. Tamahine
    Tamahine is a 1963 British comedy film in which Nancy Kwan stars as a free-spirited Polynesian girl who disrupts life at an English boys' boarding school.
  • E. Tainaste
    Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34e080c8190bf7a236205b41db2 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb15c9f48190a4d73bb08a15beb4 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bc4cdf8481909ad45b9c66234c9b completed May 10, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_6a00bcfcb434819092b85ce1debb9be8 completed May 10, 2026, 5:14 p.m.
Created at: April 10, 2026, 5:23 a.m.