Triple

T14206574
Position Surface form Disambiguated ID Type / Status
Subject Purple Haze E352108 entity
Predicate hasTrack P3284 FINISHED
Object Get Em Girls E983837 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: Get Em Girls | Statement: [Purple Haze, hasTrack, Get Em Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get Em Girls
Context triple: [Purple Haze, hasTrack, Get Em Girls]
  • A. Get Em Girls
    "Get Em Girls" is a track by Harlem rapper Cam'ron known for its braggadocious lyrics, distinctive slang, and early-2000s East Coast hip-hop production.
  • B. Get 'Em Girls chosen
    Get 'Em Girls is a pop and R&B song by Australian singer Jessica Mauboy, known for its confident, urban sound and collaboration with rapper Snoop Dogg.
  • C. This One's for the Girls
    "This One's for the Girls" is a popular country song by Martina McBride that celebrates and empowers women at different stages of life.
  • D. Beautiful Girls
    Beautiful Girls is a 1996 ensemble romantic dramedy film about a group of small-town friends reuniting for a high school reunion and confronting their stalled lives and relationships.
  • E. Beautiful Girls
    "Beautiful Girls" is a 2007 reggae-influenced pop song by Sean Kingston that became a worldwide hit known for its catchy melody and doo-wop-inspired hook.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f84f288190877116330bd54393 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280c948c8190948e55f1e1874f69 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:05 a.m.