Triple

T25209412
Position Surface form Disambiguated ID Type / Status
Subject (Bong.) Carrière E631640 entity
Predicate authorAbbreviationIncludes P33057 FINISHED
Object Carrière
Carrière is a botanist whose standard author abbreviation in botanical nomenclature is rendered as “(Bong.) Carrière.”
 E1669193 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: Carrière | Statement: [(Bong.) Carrière, authorAbbreviationIncludes, Carrière]
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: Carrière
Triple: [(Bong.) Carrière, authorAbbreviationIncludes, Carrière]
Generated description
Carrière is a botanist whose standard author abbreviation in botanical nomenclature is rendered as “(Bong.) Carrière.”
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: authorAbbreviationIncludes
Context triple: [(Bong.) Carrière, authorAbbreviationIncludes, Carrière]
  • A. authorAbbreviation chosen
    Indicates that one entity is the standardized abbreviated form of an author's name used in citations or references for another entity.
  • B. authorType
    Indicates the specific role or category of authorship associated with an entity, such as primary author, co-author, or editor.
  • C. authorTitle
    Indicates that a person is the creator or writer of a work that bears the specified title.
  • D. workAuthorIs
    Indicates that a specific person or entity is the author or creator of a particular work.
  • E. authorOfNamesFor
    Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
  • 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_69e75a8d1aa48190a4320acd3654762c completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f62d89b89c8190afb372a8172111e7 completed May 2, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a105d32eee88190ba3f287e86b79f5c completed May 22, 2026, 1:42 p.m.
NEDg Description generation batch_6a105e53f9bc8190a4b0929a68d83b0a completed May 22, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_6a105ed31dd481908a09f91fcb860641 completed May 22, 2026, 1:49 p.m.
PD Predicate disambiguation batch_69f62c1379f08190836c3e02b0c892df completed May 2, 2026, 4:53 p.m.
Created at: April 21, 2026, 12:58 p.m.