Triple

T11239943
Position Surface form Disambiguated ID Type / Status
Subject Kevin Corrigan E266044 entity
Predicate hasNotableWork P4 FINISHED
Object Grounded for Life E605971 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: Grounded for Life | Statement: [Kevin Corrigan, hasNotableWork, Grounded for Life]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grounded for Life
Context triple: [Kevin Corrigan, hasNotableWork, Grounded for Life]
  • A. Grounded for Life chosen
    Grounded for Life is an American sitcom that follows the comedic misadventures of a young Irish-American couple raising their three children in Staten Island.
  • B. Grounded
    Grounded is a cooperative survival video game where players, shrunken to insect size, must craft, build, and fight to survive in a suburban backyard.
  • C. Off the Ground
    Off the Ground is a 1993 studio album by Paul McCartney that blends rock and pop with socially conscious and introspective themes.
  • D. A Safe Place to Land
    "A Safe Place to Land" is a track from the album "Amidst the Chaos" by singer-songwriter Sara Bareilles, known for its emotional depth and introspective lyrics.
  • E. Never Land
    Never Land is a magical, pirate-filled island from the Peter Pan universe where children never grow up and fantastical adventures take place.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e918375081908c2a7ccb50cbf331 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad79e4788190af39186f37600a64 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.