Triple

T10288142
Position Surface form Disambiguated ID Type / Status
Subject Marthe E241286 entity
Predicate hasRelatedName P3889 FINISHED
Object Martheline E852193 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: Martheline | Statement: [Marthe, hasRelatedName, Martheline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martheline
Context triple: [Marthe, hasRelatedName, Martheline]
  • A. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • B. Marthette chosen
    Marthette is a feminine given name, used as a diminutive or affectionate variant of the name Marthe.
  • C. Marcelle
    Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
  • D. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • E. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b9d76c8190b1ef6ecf4c1a2a09 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750097f1c8190a4b04e3758c89aae completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:41 a.m.