Triple

T37673186
Position Surface form Disambiguated ID Type / Status
Subject Symphony No. 1 E938016 entity
Predicate oftenMarks P34854 FINISHED
Object composer’s first large-scale orchestral achievement 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: composer’s first large-scale orchestral achievement | Statement: [Symphony No. 1, oftenMarks, composer’s first large-scale orchestral achievement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenMarks
Context triple: [Symphony No. 1, oftenMarks, composer’s first large-scale orchestral achievement]
  • A. marksOn
    Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
  • B. reportedMarks
    Indicates that an entity has formally communicated or submitted the marks/grades of another entity (such as a student or assessment) to a relevant party or system.
  • C. marks
    Indicates that one entity makes a visible or symbolic sign on, or designates, another entity for identification, emphasis, or distinction.
  • D. marked
    Indicates that one entity has been identified, labeled, or highlighted in some way by another entity.
  • E. commonlyMarkedBy chosen
    Indicates that one entity is typically characterized, identified, or distinguished by the presence of another entity or feature.
  • 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_69f76ed7b1408190ba8c93c53cb8becf completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fe629b4fa481908467c7c41b77f0c6 completed May 8, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69fe61bb260c819083f9378a3a06ca47 completed May 8, 2026, 10:20 p.m.
Created at: May 3, 2026, 4:18 p.m.