Triple

T9080164
Position Surface form Disambiguated ID Type / Status
Subject Sophia Jesty E217597 entity
Predicate spouse P13 FINISHED
Object Valeria Tanco E173356 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: Valeria Tanco | Statement: [Sophia Jesty, spouse, Valeria Tanco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valeria Tanco
Context triple: [Sophia Jesty, spouse, Valeria Tanco]
  • A. Valeria Tanco chosen
    Valeria Tanco is an LGBT rights advocate known for being a lead plaintiff in a landmark legal challenge to Tennessee’s ban on same-sex marriage.
  • B. Elisa Baciocchi
    Elisa Baciocchi was an Italian noblewoman and sister of Napoleon Bonaparte who became a prominent ruler and political figure in early 19th-century Italy.
  • C. Manuela Di Centa
    Manuela Di Centa is a former Italian cross-country skier and multiple Olympic and World Championship medalist who became one of Italy’s most successful winter sports athletes.
  • D. Elisa Pugliese
    Elisa Pugliese is an American film and television producer, director, and former actress known for her work behind the camera and her marriage to comedian Keegan-Michael Key.
  • E. Tiziana Lippiello
    Tiziana Lippiello is an Italian academic and sinologist who serves as rector of Ca' Foscari University of Venice.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9607942c8190a21620892ce3cbe5 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe2103448190bbc09436f19c4f11 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.