Triple

T9500694
Position Surface form Disambiguated ID Type / Status
Subject AlphaGo Zero E229130 entity
Predicate hasAuthor P4244 FINISHED
Object Aja Huang E743713 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: Aja Huang | Statement: [AlphaGo Zero, hasAuthor, Aja Huang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aja Huang
Context triple: [AlphaGo Zero, hasAuthor, Aja Huang]
  • A. Aja Huang chosen
    Aja Huang is a Taiwanese computer scientist and DeepMind researcher best known for his work on the AlphaGo project in artificial intelligence and computer Go.
  • B. Lori Huang
    Lori Huang is the wife of NVIDIA co-founder and CEO Jensen Huang and is known for her low public profile despite her connection to the prominent tech executive.
  • C. Ellen Lee Zhou
    Ellen Lee Zhou is a conservative social worker and community activist known for her long-shot campaigns for mayor of San Francisco, where she has promoted tough-on-crime and anti-establishment policies.
  • D. Eugenia Yuan
    Eugenia Yuan is a Hong Kong–born American actress and former rhythmic gymnast known for her roles in international martial arts and drama films.
  • E. Christina Chang
    Christina Chang is a Taiwanese-American actress best known for her role as Dr. Audrey Lim on the medical drama series "The Good Doctor."
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983c308c8190bde6858ac1ca8ea5 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d439c6881909832afcc1154bca8 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:57 p.m.