Triple

T7830280
Position Surface form Disambiguated ID Type / Status
Subject Progress E181347 entity
Predicate hasTrack P3284 FINISHED
Object Pretty Things E511621 NE 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: Pretty Things | Statement: [Progress, hasTrack, Pretty Things]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pretty Things
Context triple: [Progress, hasTrack, Pretty Things]
  • A. Pretty Things chosen
    Pretty Things is a song featured on the album "Want One" by singer-songwriter Rufus Wainwright.
  • B. Dirty Pretty Things
    Dirty Pretty Things is a 2002 British social thriller film directed by Stephen Frears that explores the lives of undocumented immigrants in London through a tense, noir-tinged narrative.
  • C. Mystery Jets
    Mystery Jets are an English indie rock band known for their eclectic sound and contributions to the mid-2000s UK alternative music scene.
  • D. The Temper Trap
    The Temper Trap is an Australian indie rock band best known for their atmospheric sound and the hit single "Sweet Disposition."
  • E. The Front Bottoms
    The Front Bottoms are an American indie rock band known for their conversational lyrics, energetic live shows, and blend of folk-punk and emo influences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04ac013c81909533fa348776f50c completed March 30, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a854fac8190802599615a0f7bc4 completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:44 p.m.