Triple

T9500695
Position Surface form Disambiguated ID Type / Status
Subject AlphaGo Zero E229130 entity
Predicate hasAuthor P4244 FINISHED
Object Arthur Guez E455377 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: Arthur Guez | Statement: [AlphaGo Zero, hasAuthor, Arthur Guez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Guez
Context triple: [AlphaGo Zero, hasAuthor, Arthur Guez]
  • A. Arthur Guez chosen
    Arthur Guez is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Double DQN algorithm.
  • B. Wlamir Marques
    Wlamir Marques is a legendary Brazilian basketball player who starred for the national team during the 1950s and 1960s, helping Brazil win multiple FIBA World Championship titles and Olympic medals.
  • C. Robert Fisher
    Robert Fisher is an artist and designer best known for creating the iconic cover art for Nirvana’s album "In Utero."
  • D. Robert Fisher Jr.
    Robert Fisher Jr. is a cinematographer best known for his work on the acclaimed animated film "Spider-Man: Into the Spider-Verse."
  • E. Robert Fisher Jr.
    Robert Fisher Jr. is a film editor best known for his work on the acclaimed animated feature "Spider-Man: Into the Spider-Verse."
  • 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.