Triple

T9846126
Position Surface form Disambiguated ID Type / Status
Subject Chris Marker E239345 entity
Predicate directed P7373 FINISHED
Object Level Five E824826 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: Level Five | Statement: [Chris Marker, directed, Level Five]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Level Five
Context triple: [Chris Marker, directed, Level Five]
  • A. Level Five chosen
    Level Five is a 1997 experimental film by Chris Marker that blends documentary, fiction, and digital interfaces to explore memory, history, and the trauma of the Battle of Okinawa.
  • B. LEVEL
    LEVEL is a low-cost long-haul airline brand based in Europe that operates transatlantic and other international flights as part of the International Airlines Group portfolio.
  • C. Red Level
    Red Level is a small town located in Covington County in southern Alabama, known for its rural character and tight-knit community.
  • D. Boss Level
    Boss Level is a 2021 sci-fi action film starring Frank Grillo as a former special forces agent trapped in a time loop, forced to relive the day of his murder while uncovering a larger conspiracy.
  • E. INES level 7
    INES level 7 is the highest rating on the International Nuclear and Radiological Event Scale, reserved for catastrophic nuclear accidents with widespread health and environmental effects.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e42edd98819092d07139890d83e4 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:34 p.m.