Triple

T15992647
Position Surface form Disambiguated ID Type / Status
Subject Taissa Turner E387872 entity
Predicate spouse P13 FINISHED
Object Simone unclear NED1 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: Simone | Statement: [Taissa Turner, spouse, Simone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simone
Context triple: [Taissa Turner, spouse, Simone]
  • A. Simone
    Simone is a feminine given name of Hebrew origin meaning "hearkening" or "one who listens," widely used across various cultures.
  • B. Simone
    Simone is a 2002 satirical science fiction film written and directed by Andrew Niccol about a digitally created actress who becomes a global sensation.
  • C. Simona
    Simona is a feminine given name commonly used in various European and Latin cultures, often associated with the female form of Simon.
  • D. Simone Tata
    Simone Tata is an Indian businesswoman best known for transforming Lakmé into a leading cosmetics brand and playing a key role in the Tata Group’s consumer business expansion.
  • E. Simone Bent
    Simone Bent is an American actress and activist best known as the wife of actor Troy Garity and for her involvement in social and political causes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157844ed881908b42bfc1bb740d4e completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d3ef2881909213ff608192f1ef completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.