Triple

T21820488
Position Surface form Disambiguated ID Type / Status
Subject Ferial bint Talal E538711 entity
Predicate familyName P18 FINISHED
Object bint Talal 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 Talal | Statement: [Ferial bint Talal, familyName, bint Talal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bint Talal
Context triple: [Ferial bint Talal, familyName, bint Talal]
  • A. Talal
    Talal is a masculine given name of Arabic origin commonly used across the Arab world.
  • B. bin Talal chosen
    Bin Talal is the family name of Jordan’s Hashemite royal lineage that includes King Hussein and other prominent members of the Jordanian monarchy.
  • C. Talat Hussain
    Talat Hussain was a prominent Pakistani actor and voice artist known for his work in film, television, and radio in Pakistan and abroad.
  • D. Mohammad Talal al‑Halawani
    Mohammad Talal al‑Halawani is a Jordanian figure known primarily as the husband of Princess Ayah bint Faisal of the Jordanian royal family.
  • E. Bilawal
    Bilawal is the given name of Pakistani politician Bilawal Bhutto Zardari, chairman of the Pakistan Peoples Party and former foreign minister of Pakistan.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912d414c81909c109c3e45b6e7d2 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.