Triple

T7837857
Position Surface form Disambiguated ID Type / Status
Subject Abdul Rasul Sayyaf E181730 entity
Predicate name P16 FINISHED
Object Abdul Rasul Sayyaf E181730 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: Abdul Rasul Sayyaf | Statement: [Abdul Rasul Sayyaf, name, Abdul Rasul Sayyaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdul Rasul Sayyaf
Context triple: [Abdul Rasul Sayyaf, name, Abdul Rasul Sayyaf]
  • A. Abdul Rasul Sayyaf chosen
    Abdul Rasul Sayyaf is an Afghan Islamist politician and former mujahideen leader known for his influential role in Afghanistan’s jihadist movements and later involvement in post-Taliban politics.
  • B. Asef Bayat
    Asef Bayat is an Iranian-born sociologist and scholar of the Middle East known for his influential work on social movements, everyday resistance, and political change in the Muslim world.
  • C. Nematollah Nassiri
    Nematollah Nassiri was an Iranian general who served as a powerful and controversial head of the Shah’s secret police during the Pahlavi era.
  • D. Behrouz Vossoughi
    Behrouz Vossoughi is a legendary Iranian film actor renowned for his powerful performances in classic pre-revolutionary and international cinema.
  • E. Massoud Behrani
    Massoud Behrani is a fictional former Iranian colonel struggling to rebuild his life and status in the United States in the novel and film "House of Sand and Fog."
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c336f08190a21a3fcaa7269457 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ab573c88190bf6a1745ca5cc7b5 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:46 p.m.