Triple

T1219359
Position Surface form Disambiguated ID Type / Status
Subject Frederic Edwin Church E26182 entity
Predicate notableWork P4 FINISHED
Object Niagara E10589 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: Niagara | Statement: [Frederic Edwin Church, notableWork, Niagara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niagara
Context triple: [Frederic Edwin Church, notableWork, 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 River
    The Niagara River is a short but powerful river in North America that flows from Lake Erie to Lake Ontario and is renowned for forming the famous Niagara Falls along the U.S.–Canada border.
  • C. Niagara Falls chosen
    Niagara Falls is a famous group of massive waterfalls on the border between the United States and Canada, renowned for their impressive volume and natural beauty.
  • D. St. Lawrence
    St. Lawrence is a historic downtown Toronto neighborhood known for its iconic St. Lawrence Market, heritage architecture, and vibrant urban community.
  • E. Erie
    Erie is a city in northwestern Pennsylvania on the shores of Lake Erie, known as a regional industrial and shipping center.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be1d55a08190a138b2411a7c4376 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6185df88190bc658c948b31e606 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:46 p.m.