Triple

T8122674
Position Surface form Disambiguated ID Type / Status
Subject Madness E189644 entity
Predicate notableWork P4 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: [Madness, notableWork, The Prince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Prince
Context triple: [Madness, notableWork, 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb435cb30881909ccaa2f625e53799 completed March 31, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc945c743c8190bf1d8e60975bd8bc completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:33 p.m.