Triple

T27766669
Position Surface form Disambiguated ID Type / Status
Subject Hànshū E701618 entity
Predicate compilerFamily P163953 FINISHED
Object Ban family
The Ban family was an influential Han dynasty scholarly and political clan best known for producing the historians who compiled the Book of Han (Hànshū), including Ban Biao, Ban Gu, and Ban Zhao.
 E1787944 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: Ban family | Statement: [Hànshū, compilerFamily, Ban family]
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: Ban family
Triple: [Hànshū, compilerFamily, Ban family]
Generated description
The Ban family was an influential Han dynasty scholarly and political clan best known for producing the historians who compiled the Book of Han (Hànshū), including Ban Biao, Ban Gu, and Ban Zhao.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: compilerFamily
Context triple: [Hànshū, compilerFamily, Ban family]
  • A. compilerType
    Indicates the specific kind or category of compiler associated with or used by an entity.
  • B. programmingLanguageFamily
    Indicates that one programming language belongs to, or is categorized under, the family or lineage of another programming language.
  • C. compilerLanguage
    Indicates that one entity is the programming language in which a given compiler is implemented.
  • D. compilerRelationship
    Indicates a relationship where one entity functions as, produces, or is otherwise associated with the compiler used for another entity (such as software, code, or a build process).
  • E. compilerOccupation
    Indicates that one entity works as a compiler (e.g., of texts, data, or code) in relation to another entity, typically an organization, project, or work.
  • 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_69ef6a52fa708190934a32308d2c92dc completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6416fbf4081909b0913c337927fc4 completed May 2, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecb734408190b46558b0c6713fb0 completed May 24, 2026, 12:19 p.m.
NEDg Description generation batch_6a12ed2afa9481909cc0ca56270ba2a0 completed May 24, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a12edccfe54819094da363072bdf7a6 completed May 24, 2026, 12:23 p.m.
PD Predicate disambiguation batch_69f63c6895f0819088655277e45859a8 completed May 2, 2026, 6:03 p.m.
PDg Predicate description generation batch_69f63fd4f7448190930c723ba7cfce62 completed May 2, 2026, 6:17 p.m.
Created at: April 27, 2026, 4:31 p.m.