Triple

T17585894
Position Surface form Disambiguated ID Type / Status
Subject Asynchronous Advantage Actor-Critic E428319 entity
Predicate introducedBy P513 FINISHED
Object Mehdi Mirza 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: Mehdi Mirza | Statement: [Asynchronous Advantage Actor-Critic, introducedBy, Mehdi Mirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mehdi Mirza
Context triple: [Asynchronous Advantage Actor-Critic, introducedBy, Mehdi Mirza]
  • A. Mehdi Mirza chosen
    Mehdi Mirza is a machine learning researcher known for his contributions to deep reinforcement learning and generative models.
  • B. Saeed Jalili
    Saeed Jalili is an Iranian conservative politician and diplomat known for serving as Iran’s chief nuclear negotiator and holding senior national security roles within the Islamic Republic.
  • C. Mehdi Ali
    Mehdi Ali is a businessman best known for leading Commodore International during its financially troubled final years in the early 1990s.
  • D. Khalil Mirza
    Khalil Mirza was a historical figure of the Aq Qoyunlu dynasty, known primarily as a son of the Turkmen ruler Uzun Hasan.
  • E. Reza Abbasi
    Reza Abbasi was a prominent Safavid-era Persian painter renowned for his elegant single-figure miniatures and influential role in the Isfahan school of art.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d22f908190ae0f1eeafbe54459 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.