Triple

T16107227
Position Surface form Disambiguated ID Type / Status
Subject Magnolia (plant genus) E390769 entity
Predicate namedAfter P63 FINISHED
Object Pierre Magnol E390769 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: Pierre Magnol | Statement: [Magnolia (plant genus), namedAfter, Pierre Magnol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Magnol
Context triple: [Magnolia (plant genus), namedAfter, Pierre Magnol]
  • A. Pierre Magnol chosen
    Pierre Magnol was a 17th-century French botanist whose work in plant classification led to the magnolia genus being named in his honor.
  • B. Théophile Vabre
    Théophile Vabre is a minor character in Émile Zola’s novel "Pot-Bouille," representing the hypocritical and morally compromised Parisian bourgeoisie of the late 19th century.
  • C. Charles-Marie de Bréa
    Charles-Marie de Bréa was a French military officer and general active during the Franco-Prussian War of 1870–1871.
  • D. Alexandre Brongniart
    Alexandre Brongniart was a French geologist and paleontologist renowned for his pioneering work in stratigraphy and the study of fossils, including helping to establish the geological time scale.
  • E. Nicolas-Bernard Lépicié
    Nicolas-Bernard Lépicié was an 18th-century French painter and engraver known for his genre scenes and portraits, and for his influential role as a teacher at the Académie Royale.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6e55c08190b77f344e4e8c42ad completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79c74388190a10e0346426b0cbe completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5 a.m.