Triple

T12091217
Position Surface form Disambiguated ID Type / Status
Subject John Clute E287944 entity
Predicate hasWrittenFor P11775 FINISHED
Object Interzone E777296 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: Interzone | Statement: [John Clute, hasWrittenFor, Interzone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Interzone
Context triple: [John Clute, hasWrittenFor, Interzone]
  • A. Interzone
    Interzone is a type of intermediate fare category used on the MBTA Commuter Rail for trips that occur between outer zones without traveling to or from the central Boston terminals.
  • B. Interzone
    Interzone is a surreal, hallucinatory North African–inspired cityscape that serves as the primary backdrop for William S. Burroughs’ novel "Naked Lunch."
  • C. Interzone chosen
    Interzone is a long-running British science fiction and fantasy magazine known for publishing innovative speculative fiction and launching the careers of many genre authors.
  • D. Milrow
    Milrow was a 1969 underground U.S. nuclear test conducted on Amchitka Island in Alaska as part of the Cold War weapons testing program.
  • E. The Final Cut
    The Final Cut is a 2004 science fiction thriller film starring Robin Williams as a "cutter" who edits people’s recorded memories into memorial videos in a dystopian future.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9151797988190b0d007ea806bcf02 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66d1b44819091f638d2a621ecde completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.