Triple

T10409479
Position Surface form Disambiguated ID Type / Status
Subject Maria Nagaya E245349 entity
Predicate familyName P18 FINISHED
Object Nagaya
Nagaya is a Japanese surname historically borne by various notable figures, including samurai and aristocrats, and remains in use in modern Japan.
 E861972 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: Nagaya | Statement: [Maria Nagaya, familyName, Nagaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nagaya
Context triple: [Maria Nagaya, familyName, Nagaya]
  • A. Nago
    Nago is a coastal city in northern Okinawa, Japan, known for its beaches, subtropical climate, and role as a regional commercial and cultural center.
  • B. Hikarigaoka
    Hikarigaoka is a large residential neighborhood in Tokyo known for its extensive public housing complexes, parks, and planned urban layout.
  • C. Sendagaya
    Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
  • D. Uraku
    Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
  • E. Nagaoka-kyō
    Nagaoka-kyō was an ancient Japanese imperial capital established in the late 8th century, serving briefly as the political center before the court moved to Heian-kyō (Kyoto).
  • 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: Nagaya
Triple: [Maria Nagaya, familyName, Nagaya]
Generated description
Nagaya is a Japanese surname historically borne by various notable figures, including samurai and aristocrats, and remains in use in modern Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nagaya
Target entity description: Nagaya is a Japanese surname historically borne by various notable figures, including samurai and aristocrats, and remains in use in modern Japan.
  • A. Nago
    Nago is a coastal city in northern Okinawa, Japan, known for its beaches, subtropical climate, and role as a regional commercial and cultural center.
  • B. Hikarigaoka
    Hikarigaoka is a large residential neighborhood in Tokyo known for its extensive public housing complexes, parks, and planned urban layout.
  • C. Sendagaya
    Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
  • D. Uraku
    Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
  • E. Nagaoka-kyō
    Nagaoka-kyō was an ancient Japanese imperial capital established in the late 8th century, serving briefly as the political center before the court moved to Heian-kyō (Kyoto).
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9faa97c819092cadedadabe26bf completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbf1c428819099ca359309c4c836 completed April 9, 2026, 7:20 p.m.
NEDg Description generation batch_69d822d597088190bf3dca85e1ddb890 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859e40bf88190a6dc8deed3049d31 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:09 p.m.