Triple

T15794228
Position Surface form Disambiguated ID Type / Status
Subject Deep Thinking E382934 entity
Predicate about P380 FINISHED
Object IBM Deep Blue 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 | Statement: [Deep Thinking, about, IBM Deep Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM Deep Blue
Context triple: [Deep Thinking, about, IBM Deep Blue]
  • 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. IBM Watson
    IBM Watson is IBM’s artificial intelligence platform known for its natural language processing, machine learning capabilities, and high-profile applications such as winning on Jeopardy! and powering enterprise AI solutions.
  • D. Watson
    Watson is a common English surname borne by numerous notable figures, including scientists, artists, and public personalities.
  • E. Watson
    Watson is a residential suburb in Canberra, Australia, known for its proximity to natural reserves and easy access to the city’s northeastern bushland.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4db55308190875a04f982c44cea completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12d6f388190b61cdc7820ce6311 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:48 a.m.