Triple

T4975604
Position Surface form Disambiguated ID Type / Status
Subject He (surname) E111757 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object
Hê is a Vietnamese-style transliteration of the Chinese surname He, used to represent the same family name in different romanization systems.
E484680 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: Hê | Statement: [He (surname), hasVariantTransliteration, Hê]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hê
Context triple: [He (surname), hasVariantTransliteration, Hê]
  • A. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • B. Hetta
    Hetta is a central, intelligent and strong-willed female character in Anthony Trollope’s novel "The Way We Live Now."
  • C. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • D. Hau
    Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
  • E. Hien
    Hien is the Japanese nickname for the World War II-era Kawasaki Ki-61 fighter aircraft, known for its inline engine and distinctive performance compared to other Japanese fighters.
  • 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: Hê
Triple: [He (surname), hasVariantTransliteration, Hê]
Generated description
Hê is a Vietnamese-style transliteration of the Chinese surname He, used to represent the same family name in different romanization systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hê
Target entity description: Hê is a Vietnamese-style transliteration of the Chinese surname He, used to represent the same family name in different romanization systems.
  • A. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • B. Hetta
    Hetta is a central, intelligent and strong-willed female character in Anthony Trollope’s novel "The Way We Live Now."
  • C. Yahi
    The Yahi were a small Native American group from northern California, known for being among the last surviving independent Indigenous peoples in the region and for the story of Ishi, their last known member.
  • D. Hau
    Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
  • E. Hien
    Hien is the Japanese nickname for the World War II-era Kawasaki Ki-61 fighter aircraft, known for its inline engine and distinctive performance compared to other Japanese fighters.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7230086c81909c045614721bd89f completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a01e548819087e3a6ae2cd581b9 completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8c193f2c8190a220ffc2571bcb64 completed March 21, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_69be8c6723f08190b0e722dbb1171173 completed March 21, 2026, 12:17 p.m.
Created at: March 20, 2026, 1:33 p.m.