Triple

T9416608
Position Surface form Disambiguated ID Type / Status
Subject Marianne Ehrlich E227036 entity
Predicate givenName P17 FINISHED
Object Marianne E729059 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: Marianne | Statement: [Marianne Ehrlich, givenName, Marianne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marianne
Context triple: [Marianne Ehrlich, givenName, Marianne]
  • A. Marianne
    Marianne is the national personification of the French Republic, symbolizing liberty, reason, and the values of the nation.
  • B. Marianne chosen
    Marianne is a feminine given name of French origin that has been widely used in various cultures and is often associated with grace and classic elegance.
  • C. Marianne
    Marianne was a 19th-century Dutch princess of the House of Orange-Nassau, known for her independent spirit, unconventional personal life, and extensive patronage of the arts and architecture.
  • D. Marianne
    Marianne is the central female figure addressed in Leonard Cohen's song "So Long, Marianne," widely recognized as a muse-like character in his work.
  • E. Marianne Dashwood
    Marianne Dashwood is the passionate, romantic younger Dashwood sister in Jane Austen’s "Sense and Sensibility," whose emotional nature and idealism contrast with her sister Elinor’s restraint and practicality.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c9917481909f793a2a9efb2a75 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107bfd73481908e07d0ee2774bd59 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.