Triple

T17520170
Position Surface form Disambiguated ID Type / Status
Subject Dask E426661 entity
Predicate supportsClusterManager P82518 FINISHED
Object PBS 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: PBS | Statement: [Dask, supportsClusterManager, PBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PBS
Context triple: [Dask, supportsClusterManager, PBS]
  • A. PBS chosen
    PBS is a U.S. federal agency component responsible for managing and providing government office space and real property for civilian agencies.
  • B. PBS
    PBS is a U.S. public television network known for educational, scientific, and cultural programming.
  • C. American Public Television
    American Public Television is a major U.S. syndicator and distributor of public television programming, providing content and services to public TV stations nationwide.
  • D. CBS
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • E. CBS
    CBS is a college within the University of California, Davis that focuses on education and research in the biological sciences.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d23cf08190925510344fa36f57 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.