Triple

T18009649
Position Surface form Disambiguated ID Type / Status
Subject Olivia d'Abo E430842 entity
Predicate relative P37 FINISHED
Object Maryam d'Abo NE NERFINISHED

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: Maryam d'Abo | Statement: [Olivia d'Abo, relative, Maryam d'Abo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maryam d'Abo
Context triple: [Olivia d'Abo, relative, Maryam d'Abo]
  • A. Maryam d'Abo chosen
    Maryam d'Abo is an English actress best known for playing Bond girl Kara Milovy in the James Bond film "The Living Daylights."
  • B. Soumaya Domit
    Soumaya Domit was the late wife of Mexican billionaire Carlos Slim and the namesake of the Museo Soumaya art museum in Mexico City.
  • C. Mariam Bai
    Mariam Bai was a member of the prominent Jinnah family, historically notable in the context of South Asian politics and the creation of Pakistan.
  • D. Maryam
    Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51f0a488190bd34e1f9039f4dc9 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.