Triple

T23792514
Position Surface form Disambiguated ID Type / Status
Subject Military Man E588437 entity
Predicate chronologyWithinArtistCatalogue P133125 FINISHED
Object Thin Lizzy 1970s songs 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: Thin Lizzy 1970s songs | Statement: [Military Man, chronologyWithinArtistCatalogue, Thin Lizzy 1970s songs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chronologyWithinArtistCatalogue
Context triple: [Military Man, chronologyWithinArtistCatalogue, Thin Lizzy 1970s songs]
  • A. chronologyWithinArtistOeuvre
    Indicates the temporal ordering of works within a single artist’s body of work, specifying how one piece relates in time to others by the same artist.
  • B. chronologyOfArtist
    Indicates the temporal sequence or timeline of events, works, or periods associated with an artist.
  • C. chronologyInArtistRepertoire chosen
    Indicates the temporal order in which works appear within an artist’s repertoire or body of work.
  • D. chronologyWithinAlbum
    Indicates that one track or event occurs at a specific position or order relative to others within the same album’s sequence.
  • E. chronologyInArtistSinglesNext
    Indicates that one single directly follows another in the chronological sequence of an artist’s singles.
  • 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_69e25d15db58819092ac1e6791696fd9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c6d939c08190997246abe5781b83 completed April 29, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69f155fe300481909bd617443228df65 completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:35 p.m.