Triple

T8021453
Position Surface form Disambiguated ID Type / Status
Subject IBM Thomas J. Watson Research Center E186749 entity
Predicate notableWork P4 FINISHED
Object IBM Deep Blue chess computer E382927 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: IBM Deep Blue chess computer | Statement: [IBM Thomas J. Watson Research Center, notableWork, IBM Deep Blue chess computer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM Deep Blue chess computer
Context triple: [IBM Thomas J. Watson Research Center, notableWork, IBM Deep Blue chess computer]
  • A. Deep Blue
    Deep Blue is a 2003 British nature documentary film, co-directed by Alastair Fothergill, that explores the world's oceans using spectacular underwater cinematography.
  • B. Deep Blue chosen
    Deep Blue was IBM's pioneering chess-playing supercomputer that famously defeated world champion Garry Kasparov in 1997, marking a milestone in artificial intelligence.
  • C. AlphaGo
    AlphaGo is an artificial intelligence program developed by DeepMind that became famous for defeating world champion Go players using deep neural networks and reinforcement learning.
  • D. AlphaZero
    AlphaZero is a DeepMind-developed artificial intelligence system that mastered complex games like chess, shogi, and Go through self-play reinforcement learning without human-crafted strategies.
  • E. AlphaStar
    AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8d90488190b57d1e748e272061 completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56c82824819082e93eddc40bfad1 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:20 p.m.