Triple

T15667829
Position Surface form Disambiguated ID Type / Status
Subject Pierre André Latreille E377227 entity
Predicate hasFamilyName P18 FINISHED
Object Latreille E377227 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: Latreille | Statement: [Pierre André Latreille, hasFamilyName, Latreille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latreille
Context triple: [Pierre André Latreille, hasFamilyName, Latreille]
  • A. Latreille chosen
    Latreille is a French surname most notably associated with Pierre André Latreille, a pioneering 18th–19th century entomologist and taxonomist.
  • B. Barbaroux
    Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
  • C. Barye
    Barye is a French surname most famously associated with Antoine-Louis Barye, a renowned 19th-century sculptor known for his dynamic animal bronzes.
  • D. Tardieu
    Tardieu is a French surname historically associated with several notable figures in politics, arts, and sciences.
  • E. Mouton-Duvernet
    Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1151548190a14607e762686cb1 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67a22888819092ea521bbad7bcb7 completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:16 a.m.