Triple

T10325784
Position Surface form Disambiguated ID Type / Status
Subject Girlboss E242756 entity
Predicate openingThemePerformer P21830 FINISHED
Object Ratatat E125094 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: Ratatat | Statement: [Girlboss, openingThemePerformer, Ratatat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratatat
Context triple: [Girlboss, openingThemePerformer, Ratatat]
  • A. Ratatat chosen
    Ratatat is an American electronic rock duo known for their guitar-driven instrumentals and influential collaborations in hip hop and indie music.
  • B. Eat That Rat
    Eat That Rat is a track from the album "Animal Boy" by the American punk rock band Ramones.
  • C. Bangarang
    Bangarang is a popular electronic dance music EP and title track by American producer Skrillex, known for its aggressive dubstep sound and high-energy production.
  • D. Hot Rats
    Hot Rats is a 1969 jazz-rock fusion album by Frank Zappa, celebrated for its complex instrumental compositions and pioneering use of studio overdubbing.
  • E. Ratatat Remixes Vol. 2
    Ratatat Remixes Vol. 2 is a mixtape by electronic rock duo Ratatat featuring their signature remixes of various hip-hop and pop tracks.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cd76348190b93562112300acfc completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da93b988190ad568b0677b5d344 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:51 a.m.