Triple

T21596450
Position Surface form Disambiguated ID Type / Status
Subject bint Faisal E532912 entity
Predicate contrastsWith P278 FINISHED
Object bin Faisal 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: bin Faisal | Statement: [bint Faisal, contrastsWith, bin Faisal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bin Faisal
Context triple: [bint Faisal, contrastsWith, bin Faisal]
  • A. bin Faisal chosen
    bin Faisal is an Arabic patronymic family name associated with the Hashemite royal family, notably borne by figures such as Ghazi bin Faisal, former king of Iraq.
  • B. bint Faisal
    bint Faisal is a Jordanian royal family surname borne by several princesses and princes descended from King Faisal.
  • C. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • D. Al Fadli
    Al Fadli is a subtribe of the Shammar, a major Arab tribal confederation historically centered in the Arabian Peninsula and surrounding regions.
  • E. Faysal
    Faysal is a male given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae15a7c819081627450ae726b0b completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.