Triple

T23002789
Position Surface form Disambiguated ID Type / Status
Subject Rammstein – Pussy E572675 entity
Predicate chronologyPreviousTitle P22762 FINISHED
Object Rosenrot 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: Rosenrot | Statement: [Rammstein – Pussy, chronologyPreviousTitle, Rosenrot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosenrot
Context triple: [Rammstein – Pussy, chronologyPreviousTitle, Rosenrot]
  • A. Rosenrot chosen
    Rosenrot is a 2005 studio album by German industrial metal band Rammstein, known for its heavy sound, dark themes, and a mix of new tracks with reworked material from previous sessions.
  • B. Vermelha
    Vermelha is a civil parish located in the municipality of Cadaval in Portugal, known for its rural character within the Oeste region.
  • C. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • D. Rosso
    Rosso is the commonly used name of Rosso Fiorentino, a prominent Italian Mannerist painter of the early 16th century known for his expressive, unconventional style.
  • E. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183549bdc81908fdcd44e2c92f7c4 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.