Triple

T15840412
Position Surface form Disambiguated ID Type / Status
Subject Mark Skaife E384086 entity
Predicate name P16 FINISHED
Object Mark Skaife E384086 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: Mark Skaife | Statement: [Mark Skaife, name, Mark Skaife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Skaife
Context triple: [Mark Skaife, name, Mark Skaife]
  • A. Mark Skaife chosen
    Mark Skaife is a highly successful Australian racing driver best known for his multiple championship wins and prominence in touring car and V8 Supercars competition.
  • B. Dan Thornton
    Dan Thornton was a mid-20th-century Colorado governor and rancher whose leadership and regional influence led to the city of Thornton, Colorado being named in his honor.
  • C. Greg Gardiner
    Greg Gardiner is a film cinematographer best known for his work on the popular Christmas comedy movie "Elf."
  • D. Tedd Munchak
    Tedd Munchak was an American businessman best known for owning the Carolina Cougars franchise in the former American Basketball Association.
  • E. Rob Kerkovich
    Rob Kerkovich is an American actor best known for his role as forensic scientist Sebastian Lund on the television series NCIS: New Orleans.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e69360819091ea0556bd66d785 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13c931481908ed9fd10fddd867c completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.