Triple

T14989589
Position Surface form Disambiguated ID Type / Status
Subject King Kong (2005 film score) E373796 entity
Predicate notableTrack P8087 FINISHED
Object Central Park E5448 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: Central Park | Statement: [King Kong (2005 film score), notableTrack, Central Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Park
Context triple: [King Kong (2005 film score), notableTrack, Central Park]
  • A. Central Park
    Central Park is a major public park in Grand Prairie, Texas, featuring recreational facilities, green spaces, and community amenities.
  • B. Central Park chosen
    Central Park is a large, iconic urban park in the heart of Manhattan, known for its landscaped grounds, recreational spaces, and cultural significance.
  • C. Central Park
    Central Park is an elevated rapid transit station on the Chicago Transit Authority's Pink Line serving the North Lawndale neighborhood on Chicago's West Side.
  • D. Central Park
    Central Park was a historic rugby league stadium in Wigan, England, best known as the long-time home of the Wigan Warriors before its closure and demolition.
  • E. Central Park
    Central Park is a major community park in San Ramon, California, featuring open green spaces, sports facilities, and venues for local events and recreation.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7148a308190a687f4d0d61397c6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9687a5888190a6e6ffd781f64edc completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 2:53 a.m.