Triple

T10975081
Position Surface form Disambiguated ID Type / Status
Subject Prince Kit E259349 entity
Predicate basedOn P98 FINISHED
Object The Prince E120668 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 Prince | Statement: [Prince Kit, basedOn, The Prince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Prince
Context triple: [Prince Kit, basedOn, The Prince]
  • A. The Prince chosen
    The Prince is a 16th-century political treatise by Niccolò Machiavelli that analyzes power, statecraft, and pragmatic, sometimes ruthless, leadership.
  • B. The Prince
    The Prince is a musical artist best known for performing the song "One Song."
  • C. The Prince
    The Prince is the noble royal figure in Disney's "Snow White and the Seven Dwarfs" who falls in love with Snow White and ultimately awakens her with a kiss.
  • D. Machiavel
    Machiavel is a personified version of Niccolò Machiavelli’s cynical political philosophy, often used in Renaissance drama as a scheming, amoral commentator on events.
  • E. Book First: The Prince
    "Book First: The Prince" is the opening section of Henry James's novel *The Golden Bowl*, introducing the central characters and laying the groundwork for the complex psychological and moral drama that follows.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f4e888819097433271a2f45ff3 completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7aeb66c8190b9d18642b2ad2ea0 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.