Triple

T16048671
Position Surface form Disambiguated ID Type / Status
Subject Hui Xiong E389290 entity
Predicate hasNotableContributionType P477 FINISHED
Object algorithm design for data mining LITERAL 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: algorithm design for data mining | Statement: [Hui Xiong, hasNotableContributionType, algorithm design for data mining]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableContributionType
Context triple: [Hui Xiong, hasNotableContributionType, algorithm design for data mining]
  • A. hasNotableCredit
    Indicates that an entity is recognized for having a significant or noteworthy contribution, role, or acknowledgment associated with it.
  • B. hasNotableCollaborationType
    Indicates a specific kind or category of significant collaborative relationship that exists between entities.
  • C. hasNotabilityCategory
    Indicates that an entity is associated with a particular category that characterizes its type or area of notability.
  • D. hasNotableWorkCategory
    Indicates that an entity’s notable work belongs to, or is classified under, a particular category or type.
  • E. notableContribution chosen
    Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
  • F. None of above.

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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e18272f2288190a17d45fb01cc2b07 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:56 a.m.