Triple

T28790798
Position Surface form Disambiguated ID Type / Status
Subject 賴清德 E726945 entity
Predicate 宗教洗禮名 P26692 FINISHED
Object 威廉
威廉是賴清德在接受基督宗教洗禮時所取的教名。
 E1832958 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: 威廉 | Statement: [賴清德, 宗教洗禮名, 威廉]
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: 威廉
Triple: [賴清德, 宗教洗禮名, 威廉]
Generated description
威廉是賴清德在接受基督宗教洗禮時所取的教名。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 宗教洗禮名
Context triple: [賴清德, 宗教洗禮名, 威廉]
  • A. baptismName chosen
    Indicates the name an individual receives or uses specifically in the context of a baptism ceremony.
  • B. christenedBy
    Indicates that an entity received its name or was formally dedicated through a christening performed by another entity.
  • C. religiousName
    Indicates that an entity has or is known by a name specifically associated with a religious role, identity, or context.
  • D. baptismAssociatedWith
    Indicates a relationship in which an entity is connected or related to a baptism event, such as by participation, performance, location, or contextual association.
  • E. baptismReligion
    Indicates the religion or denomination into which an entity was baptized.
  • F. None of above.

Provenance (6 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_69f0319aabec81908368720196f69a35 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658ee40088190b71e1219407690d0 completed May 2, 2026, 8:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a27350a08190aee1c682d3226023 completed June 6, 2026, 10:42 p.m.
NEDg Description generation batch_6a24a703ae6c8190b6298c1283e7c9b7 completed June 6, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_6a24ab4ed6088190a8de9ed2255599ea completed June 6, 2026, 11:20 p.m.
PD Predicate disambiguation batch_69f65760fd3081908ffe014a5e2bf069 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 6:23 a.m.