Triple

T11895915
Position Surface form Disambiguated ID Type / Status
Subject Freda Josephine McDonald E283033 entity
Predicate spouse P13 FINISHED
Object Jean Lion E278432 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: Jean Lion | Statement: [Freda Josephine McDonald, spouse, Jean Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Lion
Context triple: [Freda Josephine McDonald, spouse, Jean Lion]
  • A. Jean Lion chosen
    Jean Lion was a French industrialist best known as the second husband of American-born entertainer and civil rights activist Josephine Baker.
  • B. Leo da Lion
    Leo da Lion is a music producer best known for his work on the project "Back to Basics."
  • C. Henri
    Henri is a given name most famously associated with the French artist Henri Matisse.
  • D. Leo le Gris
    Leo le Gris is a pseudonym of León de Greiff, the influential 20th-century Colombian poet known for his erudite, musical, and highly stylized verse.
  • E. Guillaume
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1286808190949719f54ff49a01 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41811e5ac8190a3e397e31f19bca1 completed May 1, 2026, 3:03 a.m.
Created at: April 8, 2026, 9:44 p.m.