Triple

T8562267
Position Surface form Disambiguated ID Type / Status
Subject Star Wars: Dark Forces E202716 entity
Predicate hasLevel P2393 FINISHED
Object The Death Star E202731 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: The Death Star | Statement: [Star Wars: Dark Forces, hasLevel, The Death Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Death Star
Context triple: [Star Wars: Dark Forces, hasLevel, The Death Star]
  • A. Death Star chosen
    The Death Star is a colossal, moon-sized Imperial battle station in the Star Wars universe, capable of destroying entire planets with its superlaser.
  • B. Udora
    Udora is a small rural community located within the town of Georgina in Ontario, Canada.
  • C. En-dor
    En-dor is an ancient Canaanite village mentioned in the Hebrew Bible, best known as the place where King Saul consulted a medium before his final battle.
  • D. Plo Koon
    Plo Koon is a Kel Dor Jedi Master and member of the Jedi High Council known for his wisdom, calm demeanor, and leadership during the Clone Wars in the Star Wars universe.
  • E. Kessel
    Kessel is a French surname most notably borne by Joseph Kessel, a prominent 20th-century novelist and journalist.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe94c0c3c8190aca981c07b090dc0 completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce895657188190886779180b783bf3 completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:20 p.m.