Triple

T19449587
Position Surface form Disambiguated ID Type / Status
Subject Princess Iman bint Abdullah E486578 entity
Predicate familyName P18 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: [Princess Iman bint Abdullah, familyName, bint Abdullah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bint Abdullah
Context triple: [Princess Iman bint Abdullah, familyName, 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338caeb48190aeb1d511996984e3 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.