Triple

T12258710
Position Surface form Disambiguated ID Type / Status
Subject Superstar E292166 entity
Predicate hasPart P35 FINISHED
Object Don’t Dull E292157 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: Don’t Dull | Statement: [Superstar, hasPart, Don’t Dull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don’t Dull
Context triple: [Superstar, hasPart, Don’t Dull]
  • A. Don’t Dull chosen
    Don’t Dull is a popular Afrobeat single by Nigerian artist Wizkid that helped solidify his early mainstream success.
  • B. Don’t Bother
    "Don’t Bother" is a pop-rock song by Colombian singer Shakira, released as one of the singles from her English-language album Oral Fixation, Vol. 2.
  • C. Staring Down
    "Staring Down" is a rock song by American alternative rock band Collective Soul, known for its melodic hooks and introspective lyrics.
  • D. Rough Edges
    Rough Edges is a song featured on the album "Barking at Airplanes" by American singer-songwriter Kim Carnes.
  • E. Don’t Make Waves
    Don’t Make Waves is a 1967 American comedy film known for its satirical take on California beach culture and for featuring Sharon Tate in one of her most memorable early roles.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ccadc3c81908fe68adc3fdcc851 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abfc8588190ab9300c6e5e59092 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.