Triple

T5973983
Position Surface form Disambiguated ID Type / Status
Subject Barquq E132938 entity
Predicate child P120 FINISHED
Object an-Nasir Faraj E570113 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: an-Nasir Faraj | Statement: [Barquq, child, an-Nasir Faraj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: an-Nasir Faraj
Context triple: [Barquq, child, an-Nasir Faraj]
  • A. an-Nasir Faraj chosen
    an-Nasir Faraj was a Mamluk sultan of Egypt and Syria from the Burji dynasty, known for his troubled reign marked by internal strife and external threats in the early 15th century.
  • B. Salah Khalaf
    Salah Khalaf, also known as Abu Iyad, was a founding leader and chief strategist of the Fatah movement and a key figure in the Palestinian national struggle.
  • C. Saif al-Adel
    Saif al-Adel is a senior Egyptian militant and former military officer widely believed to be the de facto leader of al-Qaeda and a key strategist behind several major terrorist operations.
  • D. Ismail Elfath
    Ismail Elfath is a prominent American soccer referee who regularly officiates high-profile Major League Soccer matches and international competitions.
  • E. Hassan Aref
    Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a01dd4081909097342afff31f9b completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141370ae48190b7da53210fd27315 completed March 23, 2026, 1:33 p.m.
Created at: March 22, 2026, 4:03 p.m.