Triple

T3127403
Position Surface form Disambiguated ID Type / Status
Subject Ghost Town E65329 entity
Predicate notableLyricSection P5600 FINISHED
Object 070 Shake outro 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: 070 Shake outro | Statement: [Ghost Town, notableLyricSection, 070 Shake outro]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableLyricSection
Context triple: [Ghost Town, notableLyricSection, 070 Shake outro]
  • A. notableSection chosen
    Indicates that a particular part or segment of something is especially important, prominent, or worthy of attention within the whole.
  • B. notableSongCharacteristic
    Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
  • C. notableSongWrittenFor
    Indicates that a particular song was specifically written for a given person, group, work, event, or purpose.
  • D. notableTrack
    Indicates that a particular track (such as a song or recording) is especially significant, well-known, or prominent in relation to the subject.
  • E. hasLyric
    Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada546a6648190bc4bc3e599e6aa95 completed March 8, 2026, 4:35 p.m.
PD Predicate disambiguation batch_69ad9df62e548190b053e1478deed467 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:04 p.m.