Triple

T3356082
Position Surface form Disambiguated ID Type / Status
Subject Les Nabis E70607 entity
Predicate hasPart P35 FINISHED
Object Georges Lacombe E78238 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: Georges Lacombe | Statement: [Les Nabis, hasPart, Georges Lacombe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georges Lacombe
Context triple: [Les Nabis, hasPart, Georges Lacombe]
  • A. Georges Lacombe chosen
    Georges Lacombe was a French Post-Impressionist painter and sculptor associated with the Nabi group, known for his symbolist and decorative style.
  • B. Léon Marchal
    Léon Marchal was a French diplomat who served as Secretary General of the Council of Europe during the early years of European postwar integration.
  • C. Henri Lebasque
    Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
  • D. Georges Guingouin
    Georges Guingouin was a prominent French Resistance leader during World War II, known as the “first maquisard of France” for organizing early and effective guerrilla actions against the German occupation.
  • E. Georges Récipon
    Georges Récipon was a French sculptor best known for his ornate allegorical sculptures and monumental works in Paris during the late 19th and early 20th centuries.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb242d4988190bbac993df587936d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf91db342c819084d3f59157518128 completed March 22, 2026, 6:53 a.m.
Created at: March 8, 2026, 3:13 p.m.