Triple

T14379978
Position Surface form Disambiguated ID Type / Status
Subject Johann Franz Encke E356573 entity
Predicate namesake P63 FINISHED
Object Encke's Comet E1096087 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: Encke's Comet | Statement: [Johann Franz Encke, namesake, Encke's Comet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Encke's Comet
Context triple: [Johann Franz Encke, namesake, Encke's Comet]
  • A. Encke's Comet chosen
    Encke's Comet is a short-period comet in our solar system known for having one of the shortest orbital periods of any comet, returning roughly every 3.3 years.
  • B. Halley’s Comet
    Halley’s Comet is a famous short-period comet visible from Earth roughly every 76 years, historically recorded for millennia and notable for its bright, easily observed appearances.
  • C. St. Judy's Comet
    "St. Judy's Comet" is a gentle, lullaby-like folk song by Paul Simon, known for its soothing melody and reflective lyrics.
  • D. Dibiasky comet
    The Dibiasky comet is the fictional, Earth-destroying comet central to the plot of the satirical disaster film "Don't Look Up."
  • E. Comet 4C
    Comet 4C was a later variant of the de Havilland Comet, the world’s first commercial jet airliner, used by several airlines in the 1960s for medium- to long-haul passenger services.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900bbfb08190a1e56f281a2374c0 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.