Triple

T10176425
Position Surface form Disambiguated ID Type / Status
Subject Charles Longuet E235863 entity
Predicate spouse P13 FINISHED
Object Jenny Marx E364707 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: Jenny Marx | Statement: [Charles Longuet, spouse, Jenny Marx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenny Marx
Context triple: [Charles Longuet, spouse, Jenny Marx]
  • A. Caroline Marx
    Caroline Marx was a 19th-century German woman known primarily as one of the daughters of Heinrich Marx and the sister of philosopher Karl Marx.
  • B. Eleanor Marx chosen
    Eleanor Marx was a British socialist activist, writer, and translator who played a key role in the early labor and feminist movements and was the youngest daughter of Karl Marx.
  • C. Emilie Marx
    Emilie Marx was one of the daughters of Heinrich Marx, making her a member of the family of the philosopher and economist Karl Marx.
  • D. Heinrich Marx
    Heinrich Marx was a German lawyer and Enlightenment-influenced liberal thinker best known as the father of philosopher and economist Karl Marx.
  • E. Julia Mazzini
    Julia Mazzini is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "A Sicilian Romance."
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd3a2688190bce277bffffcbf8b completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301232e5c8190ad80c4e78681994c completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.