Triple

T9500700
Position Surface form Disambiguated ID Type / Status
Subject AlphaGo Zero E229130 entity
Predicate hasAuthor P4244 FINISHED
Object Marc Lanctot E441100 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: Marc Lanctot | Statement: [AlphaGo Zero, hasAuthor, Marc Lanctot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Lanctot
Context triple: [AlphaGo Zero, hasAuthor, Marc Lanctot]
  • A. Marc Lanctot chosen
    Marc Lanctot is a computer scientist and researcher in reinforcement learning and game AI, known for his contributions to deep reinforcement learning methods such as Dueling DQN.
  • B. Gregor Fisher
    Gregor Fisher is a Scottish actor best known for his comedic roles, particularly as the lead character in the television series "Rab C. Nesbitt."
  • C. Richard Tandy
    Richard Tandy is an English keyboardist best known for his long-standing role shaping the distinctive sound of the rock band Electric Light Orchestra.
  • D. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • E. Jay McGillis
    Jay McGillis was a Boston College football player whose battle with leukemia inspired the creation of the Tom Coughlin Jay Fund Foundation to support families of children with cancer.
  • 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.