Triple

T25209408
Position Surface form Disambiguated ID Type / Status
Subject (Bong.) Carrière E631640 entity
Predicate indicatesRevisingAuthor P1121 FINISHED
Object Élie-Abel Carrière
Élie-Abel Carrière was a 19th-century French botanist and horticulturist known for his extensive work on conifers and contributions to plant taxonomy.
 E1689013 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: Élie-Abel Carrière | Statement: [(Bong.) Carrière, indicatesRevisingAuthor, Élie-Abel 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: Élie-Abel Carrière
Triple: [(Bong.) Carrière, indicatesRevisingAuthor, Élie-Abel Carrière]
Generated description
Élie-Abel Carrière was a 19th-century French botanist and horticulturist known for his extensive work on conifers and contributions to plant taxonomy.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: indicatesRevisingAuthor
Context triple: [(Bong.) Carrière, indicatesRevisingAuthor, Élie-Abel Carrière]
  • A. revisionOf
    Indicates that one entity is a modified or updated version of another earlier entity.
  • B. authorshipStatus
    Indicates the current state or condition of an entity’s role as an author in relation to a work (e.g., confirmed, disputed, anonymous, or pending).
  • C. hasAuthor
    Indicates that an entity is written or created by a specific author.
  • D. coAuthorOfLaterEditions
    Indicates that one entity collaborated as a co-author on later editions of a work originally authored or published earlier.
  • E. amendedBy chosen
    Indicates that one entity has been modified, revised, or updated as a result of changes made by another entity.
  • 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_69f48b9b687881908fd87a2f5fa0b1e7 completed May 1, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10c112d0088190a741666593d9a235 completed May 22, 2026, 8:48 p.m.
NEDg Description generation batch_6a10c1c152448190a10bb99bc65044ca completed May 22, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_6a10c26787148190ac5d2ff4eba945b3 completed May 22, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69f4806d93dc8190b9dff4c63186faff completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 12:58 p.m.