Triple

T6442920
Position Surface form Disambiguated ID Type / Status
Subject Nur E138267 entity
Predicate relationshipTo P37 FINISHED
Object Said Mahran E153185 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: Said Mahran | Statement: [Nur, relationshipTo, Said Mahran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Said Mahran
Context triple: [Nur, relationshipTo, Said Mahran]
  • A. Said Mahran chosen
    Said Mahran is the vengeful, psychologically tormented ex-convict protagonist of Naguib Mahfouz’s novel "The Thief and the Dogs."
  • B. Abd al-Jawad
    Abd al-Jawad is an Arabic family name, notably borne by the fictional Cairo patriarch Ahmad Abd al-Jawad in Naguib Mahfouz’s Cairo Trilogy.
  • C. Sayd al-Khatir
    Sayd al-Khatir is a renowned collection of reflections and aphoristic writings by the medieval Islamic scholar Ibn al-Jawzi, offering insights into theology, ethics, and spiritual life.
  • D. Suleiman al-Halabi
    Suleiman al-Halabi was a Syrian theology student and political assassin known for killing the French general Jean-Baptiste Kléber in Cairo in 1800.
  • E. Ahmad al-Khatib
    Ahmad al-Khatib was a Syrian politician who briefly served as interim President of Syria following the 1970 Corrective Movement before being succeeded by Hafez al-Assad.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698b030481908b7bb4e16a8b3339 completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bc718dc8190b186d09a17562d26 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:46 p.m.