Triple

T8577055
Position Surface form Disambiguated ID Type / Status
Subject Ke Jie E203072 entity
Predicate opponentInNotableMatch P18483 FINISHED
Object AlphaGo E39541 NE FINISHED

How this triple was built (3 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: AlphaGo | Statement: [Ke Jie, opponentInNotableMatch, AlphaGo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AlphaGo
Context triple: [Ke Jie, opponentInNotableMatch, AlphaGo]
  • A. AlphaGo chosen
    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.
  • B. AlphaGo Zero
    AlphaGo Zero is DeepMind's advanced artificial intelligence program that learned to play the board game Go at superhuman level entirely through self-play without human data.
  • C. 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.
  • D. AlphaStar
    AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
  • E. DeepMind
    DeepMind is a leading artificial intelligence research company renowned for breakthroughs such as AlphaGo and deep reinforcement learning, operating as a subsidiary of Google.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opponentInNotableMatch
Context triple: [Ke Jie, opponentInNotableMatch, AlphaGo]
  • A. notableMatch chosen
    Indicates that there exists a particularly significant or noteworthy match or pairing between the related entities.
  • B. opposingTeamInNotableEvent
    Indicates that one entity served as the opposing team of another entity in a specific notable event or competition.
  • C. notableWin
    Indicates that one entity achieved a particularly significant or distinguished victory over another or in a specific event.
  • D. hasNotablePlayer
    Indicates that an entity (such as a team or club) is associated with a player who is particularly distinguished, famous, or significant in its context.
  • E. notableTeammate
    Indicates that one entity has a teammate relationship with another entity who is particularly prominent, distinguished, or noteworthy.
  • F. None of above.

Provenance (4 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea97787481909ebbaa45f59cbdaa completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc72d8c08190b5e063e6de2bbdd2 completed April 2, 2026, 8:07 p.m.
PD Predicate disambiguation batch_69cbd11b13108190b07f8f161425a585 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:22 p.m.