Triple

T18069396
Position Surface form Disambiguated ID Type / Status
Subject Sean Douglas E432382 entity
Predicate notableWork P4 FINISHED
Object Talk Dirty NE NERFINISHED

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: Talk Dirty | Statement: [Sean Douglas, notableWork, Talk Dirty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talk Dirty
Context triple: [Sean Douglas, notableWork, Talk Dirty]
  • A. Talk Dirty chosen
    "Talk Dirty" is a hit pop-R&B song best known from Jason Derulo’s 2013 album, featuring a prominent saxophone hook and international chart success.
  • B. Young Dirty
    Young Dirty is a hip-hop artist best known for collaborating with Ol' Dirty Bastard on his 1999 album "Nigga Please."
  • C. Get Dirty
    "Get Dirty" is a song featured on the album "Double Up," known for its energetic, club-oriented hip-hop style.
  • D. Down and Dirty
    Down and Dirty is a shared-world superhero anthology novel in the Wild Cards series, featuring interconnected stories about people transformed by an alien virus.
  • E. Back Talk
    Back Talk is a section of the progressive news magazine Frontiers that features opinionated commentary, reader responses, or editorial columns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccebff748190b41d2edd93994c67 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.