Triple

T10027895
Position Surface form Disambiguated ID Type / Status
Subject Gemma Arterton E204776 entity
Predicate givenName P17 FINISHED
Object Gemma E584853 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: Gemma | Statement: [Gemma Arterton, givenName, Gemma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gemma
Context triple: [Gemma Arterton, givenName, Gemma]
  • A. Gemma chosen
    Gemma is a feminine given name of Italian origin, historically associated with figures such as Gemma Donati, the wife of poet Dante Alighieri.
  • B. Gemma Jones
    Gemma Jones is an English actress known for her work in film, television, and theatre, including prominent roles in period dramas and popular franchises like the Bridget Jones series and the Harry Potter films.
  • C. Gemma Flynn
    Gemma Flynn is a New Zealand former international field hockey player who represented the Black Sticks at multiple Olympic Games.
  • D. Gemma James
    Gemma James is known as the spouse of Welsh actor Gareth David-Lloyd, recognized for his role in the TV series "Torchwood."
  • E. Gemma Jackson
    Gemma Jackson is a British production designer renowned for her work on major films and television series, including the 2019 live-action adaptation of Disney's "Aladdin."
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde51c408190afb34010b1707014 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2822bca308190ad2fad82653c6e74 completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.