Triple

T7606331
Position Surface form Disambiguated ID Type / Status
Subject Princess Haya bint Hamzah E180113 entity
Predicate patronymicName P7966 FINISHED
Object bint Hamzah E132527 NE FINISHED

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 Hamzah | Statement: [Princess Haya bint Hamzah, patronymicName, bint Hamzah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bint Hamzah
Context triple: [Princess Haya bint Hamzah, patronymicName, bint Hamzah]
  • A. Hamzah bin Hussein chosen
    Hamzah bin Hussein is a Jordanian prince, the half-brother of King Abdullah II and former crown prince of Jordan.
  • B. Shihabuddin Omar
    Shihabuddin Omar was a short-reigning Sultan of the Delhi Sultanate from the Khalji dynasty who briefly succeeded his father Alauddin Khalji before being overthrown.
  • C. Ahmad
    Ahmad is the narrator of the film "Soul Food," providing the story’s perspective and emotional throughline.
  • D. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • E. Mohamad
    Mohamad is a masculine given name of Arabic origin, commonly used as a variant spelling of Muhammad.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fe10408190b1c12bb8f911cea8 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86857db14819086d5ebd825d30e77 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.