Triple

T11241701
Position Surface form Disambiguated ID Type / Status
Subject Carlos Slim Helú E266086 entity
Predicate spouse P13 FINISHED
Object Soumaya Domit 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 Domit | Statement: [Carlos Slim Helú, spouse, Soumaya Domit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soumaya Domit
Context triple: [Carlos Slim Helú, spouse, Soumaya Domit]
  • 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. Mizzi Ahmar
    Mizzi Ahmar is a reddish variety of Jerusalem stone commonly used as a traditional building material in and around Jerusalem.
  • C. Yasmina
    Yasmina is the given first name of French actress Isabelle Adjani, reflecting her Algerian heritage.
  • D. Asmaa
    Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
  • E. 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.
  • 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_69e509ea915481909c41a4a89ae6ee80 completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:30 p.m.