Triple

T21876287
Position Surface form Disambiguated ID Type / Status
Subject Wet (Barbra Streisand album) E540151 entity
Predicate hasPart P35 FINISHED
Object Niagara NE NERFINISHED

How this triple was built (3 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: Niagara | Statement: [Wet (Barbra Streisand album), hasPart, Niagara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niagara
Context triple: [Wet (Barbra Streisand album), hasPart, Niagara]
  • A. Niagara
    Niagara is a 1953 film noir thriller starring Marilyn Monroe, noted for its dramatic use of the Niagara Falls setting and Monroe’s breakout femme fatale performance.
  • B. Niagara
    Niagara is a small rural city located in Grand Forks County in the U.S. state of North Dakota.
  • C. Niagara
    Niagara is a cold-hardy, labrusca-based white grape variety widely grown in the eastern United States, known for its distinctive “foxy” aroma and use in sweet and table wines.
  • D. Niagara
    Niagara is the codename for Sun Microsystems' UltraSPARC T1 multicore, multithreaded server processor designed for high-throughput, low-power computing.
  • E. Niagara
    Niagara is a regional municipality in southern Ontario, Canada, known for encompassing the famous Niagara Falls and surrounding communities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Niagara
Target entity description: "Niagara" is a track by Barbra Streisand featured on her 1979 disco-influenced album "Wet."
  • A. Niagara
    Niagara is a 1953 film noir thriller starring Marilyn Monroe, noted for its dramatic use of the Niagara Falls setting and Monroe’s breakout femme fatale performance.
  • B. Niagara
    Niagara is an American singer and visual artist best known as the charismatic frontwoman of the Detroit proto-punk band Destroy All Monsters.
  • C. Niagara
    Niagara is a cold-hardy, labrusca-based white grape variety widely grown in the eastern United States, known for its distinctive “foxy” aroma and use in sweet and table wines.
  • D. Niagara
    Niagara is a regional municipality in southern Ontario, Canada, known for encompassing the famous Niagara Falls and surrounding communities.
  • E. Niagara
    Niagara is a small rural city located in Grand Forks County in the U.S. state of North Dakota.
  • F. None of above. chosen

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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33a4e608190bd25bfa3fb5cac10 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:02 p.m.