Triple

T13728320
Position Surface form Disambiguated ID Type / Status
Subject Gia Virginia Chen-De Niro E329723 entity
Predicate givenName P17 FINISHED
Object Gia E193995 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: Gia | Statement: [Gia Virginia Chen-De Niro, givenName, Gia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gia
Context triple: [Gia Virginia Chen-De Niro, givenName, Gia]
  • A. Gia chosen
    Gia is a 1998 biographical drama film about supermodel Gia Carangi, widely recognized for showcasing Angelina Jolie in one of her earliest acclaimed leading roles.
  • B. Gina
    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.
  • C. Gabi
    Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • D. Gio
    Gio is a common short form of the Italian given name Giorgio.
  • E. Gio
    The Gio are an ethnic group of Liberia and neighboring countries, known for their distinct language, cultural traditions, and historical involvement in the country’s political conflicts.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6302e081908e2680443852d9fd completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.