Triple

T17726672
Position Surface form Disambiguated ID Type / Status
Subject Robert Virding E442479 entity
Predicate collaboratedWith P435 FINISHED
Object Mike Williams 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: Mike Williams | Statement: [Robert Virding, collaboratedWith, Mike Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Williams
Context triple: [Robert Virding, collaboratedWith, Mike Williams]
  • A. Mike Williams chosen
    Mike Williams is a Swedish computer scientist best known as one of the creators of the Erlang programming language.
  • B. Mike Williams
    Mike Williams is a Dutch DJ and electronic music producer known for his melodic future house tracks and collaborations within the EDM scene.
  • C. Mike Williams
    Mike Williams is the real-life chief electronics technician whose experiences during the 2010 Deepwater Horizon oil rig disaster were dramatized in the film "Deepwater Horizon."
  • D. Jeffrey Williams
    Jeffrey Williams is a NASA astronaut and retired U.S. Army officer known for his multiple long-duration missions aboard the International Space Station.
  • E. Len Williams
    Len Williams was a British classical guitar teacher and promoter best known as the father and early mentor of renowned guitarist John Williams.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e25a80819096289fba4ecb227f completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:07 a.m.