Triple

T22570405
Position Surface form Disambiguated ID Type / Status
Subject Mon civilization E558060 entity
Predicate writingSystem P454 FINISHED
Object Mon script NE NERFINISHED

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: Mon script | Statement: [Mon civilization, writingSystem, Mon script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mon script
Context triple: [Mon civilization, writingSystem, Mon script]
  • A. Mon script chosen
    Mon script is an abugida writing system historically used by the Mon people of Southeast Asia and influential in the development of several other regional scripts, including Burmese.
  • B. Mon rêve
    "Mon rêve" is a romantic waltz by French composer Émile Waldteufel, known for its graceful melodies and elegant ballroom character.
  • C. Mon cher sujet
    Mon cher sujet is a 1988 French-Swiss drama film directed by Anne-Marie Miéville that explores the lives and artistic struggles of three generations of women.
  • D. Mon mec à moi
    "Mon mec à moi" is a popular French chanson-style pop song by Patricia Kaas that helped establish her as a major star in the late 1980s.
  • E. Mon homme
    Mon homme is a French film known in English as "My Man."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fad35448190b51a3dd639ca8568 completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.