Triple

T11215934
Position Surface form Disambiguated ID Type / Status
Subject Python generic class definitions E265439 entity
Predicate checkedBy P3257 FINISHED
Object Pyre E911257 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: Pyre | Statement: [Python generic class definitions, checkedBy, Pyre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyre
Context triple: [Python generic class definitions, checkedBy, Pyre]
  • A. Pyre chosen
    Pyre is a static type checker for Python that provides fast, scalable analysis of type hints to catch type-related errors before runtime.
  • B. The Burning
    "The Burning" is a popular episode of the sitcom *Seinfeld*, best known for featuring George Costanza’s “jerk store” comeback and Kramer’s storyline about medical students observing operations.
  • C. The Burning
    The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
  • D. The Burning
    The Burning was a Union scorched-earth campaign in the Shenandoah Valley during the American Civil War, aimed at destroying Confederate resources and crippling the region’s ability to support the Southern war effort.
  • E. Pyr
    Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad1c57908190a5c65ea4738722e3 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.