Triple

T8215803
Position Surface form Disambiguated ID Type / Status
Subject Karl Marx memorial E191927 entity
Predicate hasGraveOf P196 FINISHED
Object Laura Marx E363608 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: Laura Marx | Statement: [Karl Marx memorial, hasGraveOf, Laura Marx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Marx
Context triple: [Karl Marx memorial, hasGraveOf, Laura Marx]
  • A. Laura Marx chosen
    Laura Marx was the daughter of philosopher Karl Marx and Jenny von Westphalen, known for her involvement in socialist and labor movements in the late 19th century.
  • B. Laura Jeanne
    Laura Jeanne is the birth name of American actress and producer Reese Witherspoon, known for films like "Legally Blonde" and "Walk the Line."
  • C. Julia Floyd
    Julia Floyd was the wife of British statesman Sir Robert Peel, serving as a prominent Victorian-era political hostess and member of the English gentry.
  • D. Mary Louise
    Mary Louise is the given first name of Irish politician Mary Lou McDonald, leader of the Sinn Féin party.
  • E. Sarah Fidel
    Sarah Fidel is a skilled and resourceful operative in the action-comedy film "Operation Fortune: Ruse de Guerre," known for her intelligence and crucial role within the espionage team.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776dcfa08190969863b886336c91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34c010b48190b564fd365a5304d1 completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:44 p.m.