Triple

T23261568
Position Surface form Disambiguated ID Type / Status
Subject We On Fire E582028 entity
Predicate associatedRecordLabelEra P118702 FINISHED
Object Cash Money Records late-1990s era 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: Cash Money Records late-1990s era | Statement: [We On Fire, associatedRecordLabelEra, Cash Money Records late-1990s era]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedRecordLabelEra
Context triple: [We On Fire, associatedRecordLabelEra, Cash Money Records late-1990s era]
  • A. notableLabelEra chosen
    Indicates the historical era or time period for which a label, title, or designation is considered notable or especially relevant.
  • B. associatedProductionEra
    Indicates a relationship where something is linked to the specific time period or era during which it was produced or created.
  • C. associatedWithArtistEra
    Indicates a relationship where an artist is linked to a particular artistic era or period with which their work or influence is identified.
  • D. recordingEra
    Indicates the historical time period or era during which the recording was made.
  • E. associatedWithNotableEra
    Indicates that something has a significant connection or relevance to a historically or culturally notable period of time.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c9f33c819082ef6b380fc594dd completed April 29, 2026, 5:19 a.m.
PD Predicate disambiguation batch_69effce4d704819092826931d430e8c4 completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:11 p.m.