Triple

T23922099
Position Surface form Disambiguated ID Type / Status
Subject A Boston Pops Christmas – Live from Symphony Hall E602243 entity
Predicate recordingSetting P15615 FINISHED
Object concert performance 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: concert performance | Statement: [A Boston Pops Christmas – Live from Symphony Hall, recordingSetting, concert performance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recordingSetting
Context triple: [A Boston Pops Christmas – Live from Symphony Hall, recordingSetting, concert performance]
  • A. recordingMode
    Indicates the method or configuration by which something is recorded, such as how data, audio, or video capture is performed.
  • B. recordingMethod
    Indicates the technique or process used to capture or record something (such as data, audio, or video).
  • C. recordingType chosen
    Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
  • D. recordingFor
    Indicates that one entity serves as a recorded representation (such as audio, video, or data capture) created for, or documenting, another entity or event.
  • E. recordingStyle
    Indicates the manner or technique used to capture or document something, such as audio, video, or data.
  • 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_69e2953b928c819095395fa87baca583 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cf19e34481909909bda3f52cabb3 completed April 29, 2026, 9:27 a.m.
PD Predicate disambiguation batch_69f16151ebdc819086e9e1d7cc1f4f3c completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:41 p.m.