Triple

T19681396
Position Surface form Disambiguated ID Type / Status
Subject Georgina E472597 entity
Predicate hasDiminutive P456 FINISHED
Object Gina 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: Gina | Statement: [Georgina, hasDiminutive, Gina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gina
Context triple: [Georgina, hasDiminutive, Gina]
  • A. Gina chosen
    Gina is a feminine given name commonly used in English and Italian-speaking countries, often as a short form of names like Regina, Georgina, or Luigina.
  • B. Gina Shay
    Gina Shay is an American film producer best known for her work on animated features at DreamWorks Animation, including the hit musical comedy "Trolls."
  • C. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • D. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • E. Gina Romantini
    Gina Romantini is a fictional character who appears as a significant figure in the story of violinist Paul Boray in the novel and film "Humoresque."
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bf97348190bc31b00ed4ec6cad completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.