Triple

T33198774
Position Surface form Disambiguated ID Type / Status
Subject Jacob and Sons E849841 entity
Predicate oftenRecordedOn P186510 FINISHED
Object cast recordings of Joseph and the Amazing Technicolor Dreamcoat 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: cast recordings of Joseph and the Amazing Technicolor Dreamcoat | Statement: [Jacob and Sons, oftenRecordedOn, cast recordings of Joseph and the Amazing Technicolor Dreamcoat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenRecordedOn
Context triple: [Jacob and Sons, oftenRecordedOn, cast recordings of Joseph and the Amazing Technicolor Dreamcoat]
  • A. oftenRecordedIn
    Indicates that instances of one entity are frequently documented, logged, or captured within another entity (such as a medium, dataset, or record).
  • B. oftenRecorded
    Indicates that an entity is frequently documented or captured in records, media, or data.
  • C. laterRecordedIn
    Indicates that the referenced information or event was documented or captured at a later time in the specified source or record.
  • D. isOftenRecordedOn chosen
    Indicates that something is frequently documented, captured, or stored using a particular medium, format, or recording method.
  • E. reRecordedIn
    Indicates that an existing recording of something (e.g., a performance or audio/video content) was made again and captured in a new recording instance.
  • 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_69f3495efedc8190843a5728089544b9 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd19f791f48190bbb6f6047f9ddc59 completed May 7, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69fd0df365948190bc9bfc7ffd46acd8 completed May 7, 2026, 10:10 p.m.
Created at: May 1, 2026, 1:29 a.m.