Triple

T23100788
Position Surface form Disambiguated ID Type / Status
Subject Grant McLennan E576017 entity
Predicate notableSong P4 FINISHED
Object Streets of Your Town NE NERFINISHED

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: Streets of Your Town | Statement: [Grant McLennan, notableSong, Streets of Your Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Streets of Your Town
Context triple: [Grant McLennan, notableSong, Streets of Your Town]
  • A. Streets of Your Town chosen
    "Streets of Your Town" is a melodic indie pop song by Australian band The Go-Betweens, known for its bright, jangly sound contrasted with darker lyrical themes.
  • B. On Every Street
    On Every Street is the sixth and final studio album by British rock band Dire Straits, released in 1991 and known for its polished production and reflective, guitar-driven songs.
  • C. Your Side of Town
    "Your Side of Town" is a song by American rock band The Killers, featured on their compilation album *Rebel Diamonds*.
  • D. My Kind of Town
    "My Kind of Town" is a popular American song, famously performed by Frank Sinatra, that celebrates the city of Chicago and has become a classic of the Great American Songbook.
  • E. My Kind of Town
    "My Kind of Town" is a work associated with actor Nadim Sawalha, likely a film or television project in which he played a significant role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de8c5b4819095cddf989cade60d completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.