Triple

T10907741
Position Surface form Disambiguated ID Type / Status
Subject Because the Internet E257614 entity
Predicate hasPart P35 FINISHED
Object IV. Sweatpants E890021 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: IV. Sweatpants | Statement: [Because the Internet, hasPart, IV. Sweatpants]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IV. Sweatpants
Context triple: [Because the Internet, hasPart, IV. Sweatpants]
  • A. Black Panties
    Black Panties is a 2013 R&B studio album by American singer R. Kelly, known for its sexually explicit themes and contemporary R&B sound.
  • B. The Panties
    The Panties is a track by Mos Def featured on his genre-blending album "The New Danger."
  • C. Dirty Pants
    "Dirty Pants" is a song featured on the album "Rain on Lens" by the indie rock band Smog (Bill Callahan).
  • D. Pantalone
    Pantalone is a classic commedia dell'arte character, typically portrayed as a wealthy, miserly old Venetian merchant and frequent foil to the clever servant Harlequin.
  • E. Sweatpants (music video) chosen
    "Sweatpants" is a music video by Childish Gambino, directed by Hiro Murai, known for its surreal, looping diner sequence that visually explores themes of identity and ego.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706756d081908ed29c68d81df688 completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1554fc61c8190a0354e2f24cb62e4 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.