Triple

T15897906
Position Surface form Disambiguated ID Type / Status
Subject Shohreh Aghdashloo E385510 entity
Predicate notableWork P4 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: [Shohreh Aghdashloo, notableWork, The Lake House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lake House
Context triple: [Shohreh Aghdashloo, notableWork, 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563b0e4c8190b338672dfb122665 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04d4d1c819091d9b3357ca0deca completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.