Triple

T29969764
Position Surface form Disambiguated ID Type / Status
Subject Fang Xuanling E761284 entity
Predicate birthNameInChinese P4878 FINISHED
Object 房喬
房喬是唐朝著名政治家房玄齡的本名，以輔佐唐太宗治國安邦而聞名於史冊。
 E1895401 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: 房喬 | Statement: [Fang Xuanling, birthNameInChinese, 房喬]
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: 房喬
Triple: [Fang Xuanling, birthNameInChinese, 房喬]
Generated description
房喬是唐朝著名政治家房玄齡的本名，以輔佐唐太宗治國安邦而聞名於史冊。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: birthNameInChinese
Context triple: [Fang Xuanling, birthNameInChinese, 房喬]
  • A. nameInChinese chosen
    Indicates that an entity has a specific written name or label expressed in the Chinese language.
  • B. fullNameInChineseGivenName
    Indicates that the entity’s full name, when written in Chinese, is ordered with the given name first.
  • C. bearerNameInPinyin
    Indicates that the bearer’s name is represented in its pinyin (romanized Chinese) form.
  • D. nameOrderInChinese
    Indicates that the entities are arranged in the order that personal names are written or spoken in Chinese (family name first, given name second).
  • E. nameInManchuScriptOf
    Indicates that one entity is the representation of another entity’s name written in Manchu script.
  • 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_69f22467626081908d5afea489590e96 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6786d6e108190b7f631c222899519 completed May 2, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721f5b47481908f1d4402a260fe77 completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a27260f52108190a003e92f0f6c7681 completed June 8, 2026, 8:29 p.m.
NED2 Entity disambiguation (via description) batch_6a272898b10c8190a4bcf3373ac64bf5 completed June 8, 2026, 8:39 p.m.
PD Predicate disambiguation batch_69f66ec8298c8190b41fe9d182c05676 completed May 2, 2026, 9:38 p.m.
Created at: April 29, 2026, 6:31 p.m.