Triple

T10981947
Position Surface form Disambiguated ID Type / Status
Subject Bruce McCulloch E259528 entity
Predicate directorOf P537 FINISHED
Object Dog Park E897163 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: Dog Park | Statement: [Bruce McCulloch, directorOf, Dog Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dog Park
Context triple: [Bruce McCulloch, directorOf, Dog Park]
  • A. Dog Park chosen
    Dog Park is a 1998 Canadian romantic comedy film written and directed by Bruce McCulloch that explores the intertwined love lives of dog owners in Toronto.
  • B. Dogport Dog Park
    Dogport Dog Park is a dedicated off-leash dog park in Maryland Heights, Missouri, offering fenced play areas and amenities for dogs and their owners.
  • C. Park of the Wall
    Park of the Wall is a public park in Lima, Peru, known for preserving remnants of the city’s historic defensive walls and offering green recreational space in the historic center.
  • D. Road-side Dog
    Road-side Dog is a collection of short, reflective prose pieces and aphorisms by Nobel Prize–winning Polish writer Czesław Miłosz, blending memoir, philosophy, and observation.
  • E. Lawn Dogs
    Lawn Dogs is a 1997 independent drama film that explores the unlikely friendship between a young girl from a wealthy family and a working-class lawn caretaker in a restrictive suburban community.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772ea940c8190ab3e62e89244f954 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344c77d6c8190a9b5e2cc967fb031 completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:24 p.m.