Triple

T21596464
Position Surface form Disambiguated ID Type / Status
Subject bint Faisal E532912 entity
Predicate relatedForm P21674 FINISHED
Object bint Abdullah 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: bint Abdullah | Statement: [bint Faisal, relatedForm, bint Abdullah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bint Abdullah
Context triple: [bint Faisal, relatedForm, bint Abdullah]
  • A. bin Abdullah chosen
    Bin Abdullah is an Arabic patronymic surname indicating descent from someone named Abdullah, commonly used across the Arab world.
  • B. bint Hussein
    bint Hussein is the family name of Princess Haya, a Jordanian royal known internationally for her humanitarian work and role as a former wife of Dubai's ruler, Sheikh Mohammed bin Rashid Al Maktoum.
  • C. Abdullah
    Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
  • D. bint Faisal
    bint Faisal is a Jordanian royal family surname borne by several princesses and princes descended from King Faisal.
  • E. Abu Muhammad al-Adnani
    Abu Muhammad al-Adnani was a senior Islamic State leader and chief spokesman, widely regarded as one of the group’s most influential strategists and propagandists.
  • 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.