Triple

T19334551
Position Surface form Disambiguated ID Type / Status
Subject Krypton theme E483587 entity
Predicate associatedWith P37 FINISHED
Object planet Krypton 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: planet Krypton | Statement: [Krypton theme, associatedWith, planet Krypton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: planet Krypton
Context triple: [Krypton theme, associatedWith, planet Krypton]
  • A. Krypton chosen
    Krypton is a television series set in the DC Comics universe that explores Superman’s home planet and ancestry before its destruction.
  • B. planet Karn
    Planet Karn is a mysterious, rocky world in the Doctor Who universe, home to the Sisterhood of Karn and their powerful Elixir of Life.
  • C. Namek
    Namek is a lush, green, dragon-ball-rich alien planet inhabited by the Namekians and central to major story arcs in the Dragon Ball series.
  • D. planet Terra
    Planet Terra is a fictional alien world featured as the primary setting in the 1969 Japanese kaiju film "Gamera vs. Guiron."
  • E. planet Jakku
    Planet Jakku is a remote, desert world in the Star Wars universe, known for its vast sandscapes, starship wreckage, and as the home of the scavenger Rey.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61644b80c819080f9bca086424a36 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.