Triple

T22014634
Position Surface form Disambiguated ID Type / Status
Subject The Point Men E543675 entity
Predicate castMember P1668 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: [The Point Men, castMember, Maryam d'Abo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maryam d'Abo
Context triple: [The Point Men, castMember, 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a6bf6081909865781ea7937a1b completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.