Triple

T14576669
Position Surface form Disambiguated ID Type / Status
Subject Frédéric-César de La Harpe E342070 entity
Predicate familyName P18 FINISHED
Object de La Harpe E342070 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: de La Harpe | Statement: [Frédéric-César de La Harpe, familyName, de La Harpe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de La Harpe
Context triple: [Frédéric-César de La Harpe, familyName, de La Harpe]
  • A. Henri Frédéric Charles de La Harpe
    Henri Frédéric Charles de La Harpe was a Swiss architect best known for designing the National Monument of Geneva.
  • B. Frédéric-César de La Harpe chosen
    Frédéric-César de La Harpe was a Swiss statesman and political reformer from Vaud who played a key role in the creation of the Helvetic Republic and in advocating independence from Bernese rule.
  • C. Pierre Nanterme
    Pierre Nanterme was a French business executive best known for serving as chairman and CEO of Accenture.
  • D. Rabaut Saint-Étienne
    Rabaut Saint-Étienne was an 18th-century French Protestant pastor and revolutionary politician who played a significant role in advocating religious tolerance during the French Revolution.
  • E. Fred de Gresac
    Fred de Gresac was a French-born playwright and screenwriter known for her work on early 20th-century stage productions and silent films.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ace7da48190880a736ead5c4055 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.