Triple

T3870049
Position Surface form Disambiguated ID Type / Status
Subject Mark Watson E91959 entity
Predicate familyName P18 FINISHED
Object Watson E91959 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: Watson | Statement: [Mark Watson, familyName, Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watson
Context triple: [Mark Watson, familyName, Watson]
  • A. Watson chosen
    Watson is a common English surname borne by numerous notable figures, including scientists, artists, and public personalities.
  • B. WATSON
    WATSON is a close-up imaging camera on NASA’s Perseverance rover used to examine the fine details of Martian rocks and surface materials.
  • C. Bixby
    Bixby is Samsung's proprietary virtual assistant designed to enable voice control, smart device integration, and contextual assistance across the company's ecosystem of products.
  • D. Thrun
    Thrun is the surname of Sebastian Thrun, a prominent computer scientist and robotics expert known for his work in self-driving cars and artificial intelligence.
  • E. Deep Blue
    Deep Blue was IBM's pioneering chess-playing supercomputer that famously defeated world champion Garry Kasparov in 1997, marking a milestone in artificial intelligence.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec533828819080f52dae15fdbecd completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b39f55c819099e5ce90137de570 completed March 14, 2026, 2:05 p.m.
Created at: March 9, 2026, 3:20 p.m.