Triple

T2154670
Position Surface form Disambiguated ID Type / Status
Subject Norman Mineta E47859 entity
Predicate familyName P18 FINISHED
Object Mineta
Mineta is a Japanese surname most prominently associated with Norman Mineta, a longtime U.S. politician and former Secretary of Transportation.
 E240936 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: Mineta | Statement: [Norman Mineta, familyName, Mineta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mineta
Context triple: [Norman Mineta, familyName, Mineta]
  • A. Mechta
    Mechta is the alternative name for Luna 1, the Soviet spacecraft that became the first human-made object to reach the vicinity of the Moon and enter a heliocentric orbit.
  • B. Sennan
    Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
  • C. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • D. Machi
    Machi are Mapuche spiritual leaders and healers who perform rituals, provide medicinal treatment, and mediate between the human and spiritual worlds.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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: Mineta
Triple: [Norman Mineta, familyName, Mineta]
Generated description
Mineta is a Japanese surname most prominently associated with Norman Mineta, a longtime U.S. politician and former Secretary of Transportation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mineta
Target entity description: Mineta is a Japanese surname most prominently associated with Norman Mineta, a longtime U.S. politician and former Secretary of Transportation.
  • A. Mechta
    Mechta is the alternative name for Luna 1, the Soviet spacecraft that became the first human-made object to reach the vicinity of the Moon and enter a heliocentric orbit.
  • B. Sennan
    Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
  • C. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • D. Machi
    Machi are Mapuche spiritual leaders and healers who perform rituals, provide medicinal treatment, and mediate between the human and spiritual worlds.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe64fdf081909a5ea6818bddd18c completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e32814819096d479ac6b5d241d completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5afaf004819099fc04b7ac8135cd completed March 9, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69ae5b507150819089727a6e66d656b7 completed March 9, 2026, 5:32 a.m.
Created at: March 4, 2026, 7:44 p.m.