Triple

T17437336
Position Surface form Disambiguated ID Type / Status
Subject Ryan Bowser E424035 entity
Predicate workedOn P3 FINISHED
Object I Like That — 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: I Like That | Statement: [Ryan Bowser, workedOn, I Like That]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I Like That
Context triple: [Ryan Bowser, workedOn, I Like That]
  • A. I Like That chosen
    "I Like That" is an R&B/hip-hop song produced by Ryan Bowser, best known for its smooth, melodic production and early-2000s urban radio success.
  • B. Like It Like That
    "Like It Like That" is a soulful pop song by Australian singer Guy Sebastian that became one of his most commercially successful and recognizable hits.
  • C. I Like It
    "I Like It" is a 1963 pop song by British Merseybeat band Gerry and the Pacemakers that became one of their major UK hits.
  • D. I Like It
    "I Like It" is a dance-pop song produced by RedOne, best known for its energetic club sound and catchy, radio-friendly hook.
  • E. I Like It
    "I Like It" is a song featured on the soundtrack of the HBO teen drama series *Euphoria*.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff468a08190bdc5cebb8162b4ba completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 5:46 a.m.