Triple

T23157037
Position Surface form Disambiguated ID Type / Status
Subject Hanlong Long E578469 entity
Predicate nameBearerOf P744 FINISHED
Object Long (surname)
Long is a Chinese surname that can derive from several different characters and lineages, and is borne by various notable individuals in China and the Chinese diaspora.
 E1575735 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: Long (surname) | Statement: [Hanlong Long, nameBearerOf, Long (surname)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Long (surname)
Context triple: [Hanlong Long, nameBearerOf, Long (surname)]
  • A. Brown (surname)
    Brown is a common English-language surname of British origin, typically derived from a nickname referring to hair color, complexion, or clothing.
  • B. Longo
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • C. Constant (surname)
    Constant is a surname of French and broader European origin borne by various notable figures in politics, literature, and the arts.
  • D. Bond (surname)
    Bond is an English-language surname, most famously associated with the fictional British secret agent James Bond created by author Ian Fleming.
  • E. Lynn (surname)
    Lynn is a surname of English and Scottish origin, often derived from place names meaning “lake” or “waterfall.”
  • 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: Long (surname)
Triple: [Hanlong Long, nameBearerOf, Long (surname)]
Generated description
Long is a Chinese surname that can derive from several different characters and lineages, and is borne by various notable individuals in China and the Chinese diaspora.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Long (surname)
Target entity description: Long is a Chinese surname that can derive from several different characters and lineages, and is borne by various notable individuals in China and the Chinese diaspora.
  • A. Brown (surname)
    Brown is a common English-language surname of British origin, typically derived from a nickname referring to hair color, complexion, or clothing.
  • B. Longo
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • C. Constant (surname)
    Constant is a surname of French and broader European origin borne by various notable figures in politics, literature, and the arts.
  • D. Bond (surname)
    Bond is an English-language surname, most famously associated with the fictional British secret agent James Bond created by author Ian Fleming.
  • E. Lynn (surname)
    Lynn is a surname of English and Scottish origin, often derived from place names meaning “lake” or “waterfall.”
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efe1b0081908e81b757d64c067c completed April 29, 2026, 4:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c309e4518819095eb3d8a6f6a0808 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c332f5ef08190ab7f6536eb719e04 completed May 19, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c374ded1c8190b1d5c7a3ab521cf9 completed May 19, 2026, 10:11 a.m.
Created at: April 17, 2026, 4:01 p.m.