Triple

T10861364
Position Surface form Disambiguated ID Type / Status
Subject Mayte Garcia E256411 entity
Predicate spouse P13 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: [Mayte Garcia, spouse, Prince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince
Context triple: [Mayte Garcia, spouse, 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. Prince
    "Prince" is a notable work associated with Indian actress and writer Nandana Sen, contributing to her recognition in the arts.
  • D. Prince Rock
    Prince Rock is a residential and riverside area of Plymouth, England, situated near the city’s embankment and waterfront.
  • E. Príncipe
    Príncipe is the smaller, less-populated island of the Central African island nation of São Tomé and Príncipe, known for its lush rainforests, biodiversity, and status as a UNESCO Biosphere Reserve.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515186f08190a5cc388a7d936c4f completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d350748190821a4413c1eb7106 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.