Triple

T13846437
Position Surface form Disambiguated ID Type / Status
Subject Jean-Charles Perrin E332817 entity
Predicate hasGivenName P17 FINISHED
Object Jean-Charles E161251 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: Jean-Charles | Statement: [Jean-Charles Perrin, hasGivenName, Jean-Charles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Charles
Context triple: [Jean-Charles Perrin, hasGivenName, Jean-Charles]
  • A. Jean-Charles chosen
    Jean-Charles is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer and landscape architect known for designing many of Paris’s parks and boulevards.
  • B. Pierre-Charles
    Pierre-Charles is the given name of Pierre-Charles Le Monnier, an 18th-century French astronomer noted for his work on lunar motion and the determination of longitudes.
  • C. Charles-Michel
    Charles-Michel is a French given name historically borne by several notable figures, including nobles, politicians, and religious leaders.
  • D. Christophe Marie
    Christophe Marie was a 17th-century French engineer and entrepreneur best known for designing and overseeing the construction of the Pont Marie bridge in Paris.
  • E. Charles-François
    Charles-François is a French masculine given name historically borne by several notable figures, including politicians, artists, and writers.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cfd550c81909ad487d3d7d7c313 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 10:13 p.m.