Triple

T19200480
Position Surface form Disambiguated ID Type / Status
Subject Mona Best E470092 entity
Predicate givenName P17 FINISHED
Object Mona NE NERFINISHED

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: Mona | Statement: [Mona Best, givenName, Mona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mona
Context triple: [Mona Best, givenName, Mona]
  • A. Mona chosen
    Mona is a feminine given name used in various cultures, often as a standalone name or a diminutive of names like Ramona or Simona.
  • B. Mona
    Mona is a residential and academic community in the Parish of St. Andrew, Jamaica, best known as the main campus location of the University of the West Indies.
  • C. MONA
    MONA is a renowned private art museum in Hobart, Tasmania, known for its provocative contemporary and ancient art collections and unconventional, immersive visitor experience.
  • D. Manono
    Manono is a small inhabited island in Samoa, situated in the strait between the larger islands of Upolu and Savai'i.
  • E. Monnina
    Monnina is a genus of flowering plants in the milkwort family, known for its diverse species native primarily to the Americas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f997879c8190ae7618d1ba0cede9 completed April 20, 2026, 10:01 a.m.
Created at: April 10, 2026, 12:07 p.m.