Triple

T23049618
Position Surface form Disambiguated ID Type / Status
Subject Will Sasso E573970 entity
Predicate notableWork P4 FINISHED
Object Boss Level NE NERFINISHED

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: Boss Level | Statement: [Will Sasso, notableWork, Boss Level]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boss Level
Context triple: [Will Sasso, notableWork, Boss Level]
  • A. Boss Level chosen
    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.
  • B. Red Level
    Red Level is a small town located in Covington County in southern Alabama, known for its rural character and tight-knit community.
  • C. Levels
    "Levels" is a 2011 EDM track by Swedish DJ and producer Avicii that became a global hit and genre-defining anthem, notable for its iconic synth riff and use of a vocal sample from Etta James.
  • D. Level 9
    Level 9 is an American science fiction crime drama television series about a covert government team of elite hackers and cyber-crime specialists.
  • E. Level 42
    Level 42 is a British jazz-funk and pop band best known for its virtuosic bass playing, sophisticated musicianship, and 1980s hits like "Lessons in Love" and "Something About You."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867b800881909fabf9dca994c9e7 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.