Triple

T788380
Position Surface form Disambiguated ID Type / Status
Subject Grammy Legend Award E16854 entity
Predicate hasRecipient P108 FINISHED
Object Prince E43685 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: Prince | Statement: [Grammy Legend Award, hasRecipient, Prince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince
Context triple: [Grammy Legend Award, hasRecipient, Prince]
  • A. Prince chosen
    Prince was an innovative American singer, songwriter, multi-instrumentalist, and producer known for his eclectic musical style, flamboyant stage presence, and profound influence on pop, funk, rock, and R&B music.
  • B. Prince
    Prince is a royal title traditionally granted to male members of a monarchy, often denoting a son or close relative of a king or queen and sometimes a sovereign ruler of a principality.
  • C. King
    King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
  • D. King
    The King is the reigning male monarch who serves as the head of state of the United Kingdom within its constitutional monarchy system.
  • E. Jonathan King
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a782fe988190966b958673fe12bf completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787eac608190acc40d56f827284e completed March 3, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:38 p.m.