Triple

T28242674
Position Surface form Disambiguated ID Type / Status
Subject Muscicapa E712073 entity
Predicate namedBy P63 FINISHED
Object Mathurin Jacques Brisson
Mathurin Jacques Brisson was an 18th-century French zoologist and natural philosopher known for his influential work in ornithology and systematic classification of animals.
 E1815839 NE FINISHED

How this triple was built (2 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: Mathurin Jacques Brisson | Statement: [Muscicapa, namedBy, Mathurin Jacques Brisson]
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: Mathurin Jacques Brisson
Triple: [Muscicapa, namedBy, Mathurin Jacques Brisson]
Generated description
Mathurin Jacques Brisson was an 18th-century French zoologist and natural philosopher known for his influential work in ornithology and systematic classification of animals.

Provenance (5 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_69efb51fb98881909692421959ec0170 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643c650c48190a9502750933f3ba0 completed May 2, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1632eb17e48190976720d0abec4b88 completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a163495d6888190a6c226919d78ee45 completed May 27, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a16353dbdf88190b6d85c1b6c0c195c completed May 27, 2026, 12:05 a.m.
Created at: April 27, 2026, 10:59 p.m.