Triple

T8172295
Position Surface form Disambiguated ID Type / Status
Subject Dariusz Wolski E190850 entity
Predicate notableWork P4 FINISHED
Object Dark City E123975 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: Dark City | Statement: [Dariusz Wolski, notableWork, Dark City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark City
Context triple: [Dariusz Wolski, notableWork, Dark City]
  • A. Dark City chosen
    Dark City is a 1998 neo-noir science fiction film known for its atmospheric visuals, philosophical themes about memory and identity, and cult following.
  • B. Nightworld
    Nightworld is a horror novel by F. Paul Wilson that serves as the apocalyptic climax of his long-running Adversary Cycle.
  • C. Dead City
    Dead City is a gritty crime novel by Shane Stevens, known for its dark, realistic portrayal of organized crime and urban violence.
  • D. Goodnight City
    Goodnight City is a studio album by Canadian-American singer-songwriter Martha Wainwright, showcasing her distinctive blend of folk, rock, and confessional songwriting.
  • E. City of Ghosts
    City of Ghosts is a 2002 neo-noir crime drama film set largely in Cambodia, following a con man entangled in a dangerous underworld scheme.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4807c9808190ad91a9c688a4c7fd completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced5a4398819085364b3a45a85941 completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:39 p.m.