Triple

T8650983
Position Surface form Disambiguated ID Type / Status
Subject Marton Csokas E205097 entity
Predicate notableWork P4 FINISHED
Object Dead Europe
Dead Europe is a dark, atmospheric drama film adapted from Christos Tsiolkas’s novel, exploring themes of identity, guilt, and the legacy of European history.
E749698 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: Dead Europe | Statement: [Marton Csokas, notableWork, Dead Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dead Europe
Context triple: [Marton Csokas, notableWork, Dead Europe]
  • A. Medeus
    Medeus is a character known as one of the children of Jason, sharing in the mythological legacy surrounding the hero’s family.
  • B. Mayhem
    Mayhem is a professional ice hockey team based in Macon, Georgia, competing in the Southern Professional Hockey League.
  • C. Dead
    Dead is the surname of the central African American family in Toni Morrison’s novel "Song of Solomon," most notably borne by the protagonist Milkman Dead.
  • D. Dead Vistula
    The Dead Vistula is a former main channel of Poland’s Vistula River near Gdańsk, now a regulated distributary important for local navigation and flood control.
  • E. Sea of Sorrow
    "Sea of Sorrow" is a dark, heavy grunge track by Alice in Chains, featured on their influential 1990 album *Facelift*.
  • 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: Dead Europe
Triple: [Marton Csokas, notableWork, Dead Europe]
Generated description
Dead Europe is a dark, atmospheric drama film adapted from Christos Tsiolkas’s novel, exploring themes of identity, guilt, and the legacy of European history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dead Europe
Target entity description: Dead Europe is a dark, atmospheric drama film adapted from Christos Tsiolkas’s novel, exploring themes of identity, guilt, and the legacy of European history.
  • A. Medeus
    Medeus is a character known as one of the children of Jason, sharing in the mythological legacy surrounding the hero’s family.
  • B. Mayhem
    Mayhem is a professional ice hockey team based in Macon, Georgia, competing in the Southern Professional Hockey League.
  • C. Dead
    Dead is the surname of the central African American family in Toni Morrison’s novel "Song of Solomon," most notably borne by the protagonist Milkman Dead.
  • D. Dead Vistula
    The Dead Vistula is a former main channel of Poland’s Vistula River near Gdańsk, now a regulated distributary important for local navigation and flood control.
  • E. Sea of Sorrow
    "Sea of Sorrow" is a dark, heavy grunge track by Alice in Chains, featured on their influential 1990 album *Facelift*.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48150e6c8190a7a3b92b4b640858 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccc95b588190b5e44c73cf93d18b completed April 2, 2026, 8:08 p.m.
NEDg Description generation batch_69cece1681288190a6c99407bc2f0bdd completed April 2, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69cecec118ac81909fbcafe841354c32 completed April 2, 2026, 8:17 p.m.
Created at: March 30, 2026, 6:29 p.m.