Triple

T19860770
Position Surface form Disambiguated ID Type / Status
Subject Howard Deutch E477250 entity
Predicate notableWork P4 FINISHED
Object The Great Outdoors 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: The Great Outdoors | Statement: [Howard Deutch, notableWork, The Great Outdoors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Great Outdoors
Context triple: [Howard Deutch, notableWork, The Great Outdoors]
  • A. The Great Outdoors chosen
    The Great Outdoors is a 1988 comedy film starring John Candy and Dan Aykroyd about a family vacation gone hilariously wrong at a lakeside resort.
  • B. The Great Outdoors
    "The Great Outdoors" is a work associated with Australian costume designer Lizzy Gardiner, likely showcasing her creative contributions to film or television.
  • C. Camping
    Camping is an American comedy television series starring Jennifer Garner that follows a tightly wound woman whose meticulously planned outdoor trip unravels in chaotic and humorous ways.
  • D. Outdoor Life Network
    Outdoor Life Network was a U.S. cable television channel focused on outdoor sports and adventure programming that later rebranded as Versus.
  • E. Wilderness
    Wilderness is a protected natural area where ecosystems are preserved in an undeveloped, largely untouched state and human impact is kept to a minimum.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589a68b081908c2f333b6a292a1f completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.