Triple

T11241792
Position Surface form Disambiguated ID Type / Status
Subject Fernando Romero E266088 entity
Predicate spouse P13 FINISHED
Object Soumaya Slim E873756 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: Soumaya Slim | Statement: [Fernando Romero, spouse, Soumaya Slim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soumaya Slim
Context triple: [Fernando Romero, spouse, Soumaya Slim]
  • A. Soumaya Domit chosen
    Soumaya Domit was the late wife of Mexican billionaire Carlos Slim and the namesake of the Museo Soumaya art museum in Mexico City.
  • B. Najla Bouden
    Najla Bouden is a Tunisian academic and politician who became the country’s first female prime minister and the first woman to hold such a post in the Arab world.
  • C. Latifa Ouaou
    Latifa Ouaou is a film producer best known for her work on animated features such as DreamWorks' "Puss in Boots."
  • D. Yasmin Abdallah
    Yasmin Abdallah is an Australian fashion stylist and former boutique owner known for her influential work in the fashion industry and a brief marriage to actor Rufus Sewell.
  • E. Naïma Kefi
    Naïma Kefi is a Tunisian public figure best known as the wife of former Tunisian president Zine El Abidine Ben Ali.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e919eaf48190a1457851cfc56afb completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5257dd1e48190a9352fc8b62418da completed April 19, 2026, 6:57 p.m.
Created at: April 8, 2026, 9:30 p.m.