Triple

T18703644
Position Surface form Disambiguated ID Type / Status
Subject Rubber Ball E457314 entity
Predicate lyricist P1360 FINISHED
Object Ann Orlowski 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: Ann Orlowski | Statement: [Rubber Ball, lyricist, Ann Orlowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Orlowski
Context triple: [Rubber Ball, lyricist, Ann Orlowski]
  • A. Ann Orlowski chosen
    Ann Orlowski is a composer known for writing the song "Rubber Ball."
  • B. Nick Brandt
    Nick Brandt is a British photographer and director best known for his evocative black-and-white images of African wildlife and landscapes that highlight environmental destruction and conservation issues.
  • C. Tim Starling
    Tim Starling is a software engineer best known for his long-time work as a MediaWiki developer and contributor to the Wikimedia Foundation’s technical infrastructure.
  • D. Santos Irwin
    Santos Irwin is the child of American actor and clown Bill Irwin.
  • E. James Balog
    James Balog is an American photographer and environmentalist renowned for his dramatic visual documentation of climate change, particularly through long-term glacier photography projects.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671597ac819093dbb53553130f1e completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.