Triple

T6235108
Position Surface form Disambiguated ID Type / Status
Subject Bring Em Out E139456 entity
Predicate partOfAlbum P35 FINISHED
Object Urban Legend E489252 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: Urban Legend | Statement: [Bring Em Out, partOfAlbum, Urban Legend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urban Legend
Context triple: [Bring Em Out, partOfAlbum, Urban Legend]
  • A. Urban Legend chosen
    "Urban Legend" is the debut studio album by American rapper T.I., showcasing his early Southern hip hop sound and helping establish him as a prominent figure in the genre.
  • B. Urban Legend
    "Urban Legend" is a 1998 slasher horror film about a series of campus murders that mimic popular urban myths.
  • C. Ghost Story
    "Ghost Story" is a creative work by Croatian illustrator, animator, and filmmaker Milan Trenc, best known for his distinctive, surreal visual style.
  • D. Ghost Stories
    Ghost Stories is a 2014 Coldplay studio album characterized by its atmospheric, introspective sound and themes of heartbreak and emotional healing.
  • E. The Rumour
    The Rumour is a painting by Belgian contemporary artist Luc Tuymans, exemplifying his subtle, muted style and exploration of memory, history, and the distortion of truth.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062f103a08190b1fb44234832178e completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20df60e488190933b7fa068e96cc4 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:22 p.m.