Triple

T9374102
Position Surface form Disambiguated ID Type / Status
Subject This Never Happened Before E225604 entity
Predicate usedIn P98 FINISHED
Object The Lake House E328490 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: The Lake House | Statement: [This Never Happened Before, usedIn, The Lake House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lake House
Context triple: [This Never Happened Before, usedIn, The Lake House]
  • A. The Lake House
    The Lake House is a bestselling historical mystery novel by Australian author Kate Morton that intertwines past and present as it unravels a decades-old family secret.
  • B. The Lake House chosen
    The Lake House is a 2006 romantic drama film featuring a time-crossed love story between characters played by Keanu Reeves and Sandra Bullock.
  • C. The Lake House
    The Lake House is a science fiction novel by James Patterson that follows genetically engineered children with wings as they escape sinister experiments and search for freedom.
  • D. Riverhouse
    Riverhouse is a luxury eco-friendly residential condominium building located in Manhattan’s Battery Park City neighborhood.
  • E. Lake of Dreams
    Lake of Dreams is a large, multimedia performance lake at Wynn Las Vegas known for its nightly light, music, and animatronic shows viewed from surrounding terraces and restaurants.
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50a78dc4819089f20f785060b343 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100d976d481909502901cec1fc83f completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:43 p.m.