Triple

T1653525
Position Surface form Disambiguated ID Type / Status
Subject Leo Esaki E35746 entity
Predicate familyName P18 FINISHED
Object Esaki
Esaki is a Japanese surname most notably associated with physicist Leo Esaki, a Nobel laureate recognized for his pioneering work on quantum tunneling in semiconductors.
 E314661 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: Esaki | Statement: [Leo Esaki, familyName, Esaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Esaki
Context triple: [Leo Esaki, familyName, Esaki]
  • A. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • B. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • C. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • D. Akishino
    Akishino is the imperial family name of a branch of Japan’s monarchy, borne by members such as Prince Hisahito and his parents, Crown Prince Fumihito and Crown Princess Kiko.
  • E. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • 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: Esaki
Triple: [Leo Esaki, familyName, Esaki]
Generated description
Esaki is a Japanese surname most notably associated with physicist Leo Esaki, a Nobel laureate recognized for his pioneering work on quantum tunneling in semiconductors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Esaki
Target entity description: Esaki is a Japanese surname most notably associated with physicist Leo Esaki, a Nobel laureate recognized for his pioneering work on quantum tunneling in semiconductors.
  • A. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • B. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • C. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • D. Akishino
    Akishino is the imperial family name of a branch of Japan’s monarchy, borne by members such as Prince Hisahito and his parents, Crown Prince Fumihito and Crown Princess Kiko.
  • E. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8a080c8190b6913d6830d74526 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc189de08190b88849333d824c5b completed March 11, 2026, 5:22 a.m.
NEDg Description generation batch_69b0fd5e0ce081909a3fe89afc57a708 completed March 11, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69b1011c30ec8190a61b447733c7d4e7 completed March 11, 2026, 5:43 a.m.
Created at: March 4, 2026, 7:29 p.m.