Triple

T13699994
Position Surface form Disambiguated ID Type / Status
Subject The Lake House E328490 entity
Predicate basedOn P98 FINISHED
Object Il Mare
Il Mare is a 2000 South Korean romantic fantasy film about two people living in different times who communicate through a mysterious seaside mailbox.
E1056083 NE FINISHED

How this triple was built (4 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: Il Mare | Statement: [The Lake House, basedOn, Il Mare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Il Mare
Context triple: [The Lake House, basedOn, Il Mare]
  • A. Am Meer
    "Am Meer" is a German art song composed by Franz Schubert, best known as one of the settings in his posthumously published song cycle "Schwanengesang."
  • B. Oltremare
    Oltremare is a large theme and educational park in Riccione, Italy, known for its marine life exhibits, dolphin shows, and interactive nature experiences.
  • C. La Mar
    La Mar is an archaeological site in the western Maya lowlands known for its Classic-period Maya ruins and inscriptions.
  • D. To the Sea
    To the Sea is a mellow, introspective 2010 studio album by Hawaiian singer-songwriter Jack Johnson that blends acoustic surf rock with themes of family, memory, and the ocean.
  • E. The Sea
    The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Il Mare
Triple: [The Lake House, basedOn, Il Mare]
Generated description
Il Mare is a 2000 South Korean romantic fantasy film about two people living in different times who communicate through a mysterious seaside mailbox.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Il Mare
Target entity description: Il Mare is a 2000 South Korean romantic fantasy film about two people living in different times who communicate through a mysterious seaside mailbox.
  • A. Am Meer
    "Am Meer" is a German art song composed by Franz Schubert, best known as one of the settings in his posthumously published song cycle "Schwanengesang."
  • B. Oltremare
    Oltremare is a large theme and educational park in Riccione, Italy, known for its marine life exhibits, dolphin shows, and interactive nature experiences.
  • C. La Mar
    La Mar is an archaeological site in the western Maya lowlands known for its Classic-period Maya ruins and inscriptions.
  • D. To the Sea
    To the Sea is a mellow, introspective 2010 studio album by Hawaiian singer-songwriter Jack Johnson that blends acoustic surf rock with themes of family, memory, and the ocean.
  • E. The Sea
    The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
  • F. None of above. chosen

Provenance (5 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794559e9c81909ef8a6d9b9f480b3 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f798aab9c48190acaa78864e89411f completed May 3, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_69f79943e4f4819098fa82cb6a32e08a completed May 3, 2026, 6:51 p.m.
Created at: April 9, 2026, 9:54 p.m.