Triple

T15214772
Position Surface form Disambiguated ID Type / Status
Subject Laura Marx E363608 entity
Predicate familyName P18 FINISHED
Object Marx E10463 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: Marx | Statement: [Laura Marx, familyName, Marx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marx
Context triple: [Laura Marx, familyName, Marx]
  • A. Marx
    Marx is the surname of the famous American entertainment family whose members, including Harpo, became renowned as the Marx Brothers in early 20th-century comedy.
  • B. Marx
    Marx is a major villain from the Kirby video game series, known for his jester-like appearance and transformation into a powerful final boss.
  • C. Karl Marx chosen
    Karl Marx was a 19th-century German philosopher, economist, and revolutionary socialist best known for developing the theory of communism and co-authoring "The Communist Manifesto."
  • D. Marx and Engels
    Marx and Engels were 19th-century German philosophers, economists, and political theorists whose works, including "The Communist Manifesto," laid the foundations of modern socialism and communism.
  • E. Engels
    Engels is a city in Russia’s Saratov Oblast, situated on the Volga River and known as an important industrial and transportation center.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076e4348819091fa91c1562e7c5c completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2f86688190bafdfe72033eda90 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:11 a.m.