Triple

T20051674
Position Surface form Disambiguated ID Type / Status
Subject Marlee Matlin E499214 entity
Predicate spouse P13 FINISHED
Object Kevin Grandalski 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: Kevin Grandalski | Statement: [Marlee Matlin, spouse, Kevin Grandalski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Grandalski
Context triple: [Marlee Matlin, spouse, Kevin Grandalski]
  • A. Kevin Grandalski chosen
    Kevin Grandalski is an American law enforcement officer best known as the husband of Academy Award–winning actress Marlee Matlin.
  • B. Kevin Gruft
    Kevin Gruft is an American music producer and guitarist best known for his work in rock and alternative genres, including collaborations with bands like Papa Roach.
  • C. Greg Ganske
    Greg Ganske is an American plastic surgeon and Republican politician who represented Iowa in the U.S. House of Representatives from 1995 to 2003.
  • D. Kevin Burkhardt
    Kevin Burkhardt is an American sportscaster best known as a play-by-play announcer and studio host for major MLB and NFL broadcasts on Fox.
  • E. Brad Goreski
    Brad Goreski is a Canadian-American celebrity fashion stylist and television personality known for his sharp red-carpet commentary and appearances on style-focused TV shows.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632ee4d48190b9de3a1efa064492 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.