Triple

T37734496
Position Surface form Disambiguated ID Type / Status
Subject Hóngrěn E940242 entity
Predicate nameComponents P188985 FINISHED
Object Hóng
Hóng is a Chinese surname and given name component commonly used in various Chinese personal names.
 E2241197 NE FINISHED

How this triple was built (3 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: Hóng | Statement: [Hóngrěn, nameComponents, Hóng]
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: Hóng
Triple: [Hóngrěn, nameComponents, Hóng]
Generated description
Hóng is a Chinese surname and given name component commonly used in various Chinese personal names.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nameComponents
Context triple: [Hóngrěn, nameComponents, Hóng]
  • A. nameElements
    Indicates that an entity assigns or specifies the names of multiple elements within a set or structure.
  • B. namesField
    Indicates that one entity serves as the name or label assigned to a particular field of another entity.
  • C. nameComesFrom
    Indicates that the name or designation of one entity is derived from, inspired by, or based on another entity.
  • D. namesAs
    Indicates that one entity assigns or uses a particular name or label to refer to another entity.
  • E. nameComponentFortMeaning
    Indicates that a component of a name expresses or carries the meaning associated with a fort.
  • F. None of above. chosen

Provenance (7 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_69f76edefd048190a32212c5c3919531 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaf48ba148190a8bdfd6846ad0540 completed May 6, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40d68775688190b5876b427ba6c946 completed June 28, 2026, 8:08 a.m.
NEDg Description generation batch_6a40d8c963008190b53f87e737b1e7b6 completed June 28, 2026, 8:18 a.m.
NED2 Entity disambiguation (via description) batch_6a40db2567d08190900ec701b3689062 completed June 28, 2026, 8:28 a.m.
PD Predicate disambiguation batch_69fbadf632ec8190b14991c971258307 completed May 6, 2026, 9:09 p.m.
PDg Predicate description generation batch_69fbaeef9c488190babb546b962b4fb6 completed May 6, 2026, 9:13 p.m.
Created at: May 3, 2026, 4:18 p.m.