Triple

T18191862
Position Surface form Disambiguated ID Type / Status
Subject Jean-Marie E435554 entity
Predicate semanticMeaningComponent_Marie P16024 FINISHED
Object bitter or beloved (various interpretations) LITERAL 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: bitter or beloved (various interpretations) | Statement: [Jean-Marie, semanticMeaningComponent_Marie, bitter or beloved (various interpretations)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: semanticMeaningComponent_Marie
Context triple: [Jean-Marie, semanticMeaningComponent_Marie, bitter or beloved (various interpretations)]
  • A. meaningComponent_mar
    Indicates that something is a semantic or conceptual component contributing to the overall meaning of another item, such as a word, phrase, or expression.
  • B. meaningViaPatricia
    Indicates that something’s meaning, interpretation, or understanding is conveyed, mediated, or determined through an intermediary named Patricia.
  • C. meaningComponent chosen
    Indicates that one entity represents a semantic or conceptual component contributing to the overall meaning of another entity.
  • D. commonMeaning
    Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
  • E. logicalMeaning
    Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
  • F. None of above.

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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d05974819094b4a50d081be881 completed April 19, 2026, 2:04 p.m.
PD Predicate disambiguation batch_69e4331e92408190ad607ba4956a3897 completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:31 a.m.