Triple

T5737723
Position Surface form Disambiguated ID Type / Status
Subject Little Master E126538 entity
Predicate associatedWithRecordOfPerson P2830 FINISHED
Object most Test runs 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: most Test runs | Statement: [Little Master, associatedWithRecordOfPerson, most Test runs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithRecordOfPerson
Context triple: [Little Master, associatedWithRecordOfPerson, most Test runs]
  • A. originallyAssociatedWith
    Indicates that an entity was first linked, connected, or affiliated with another entity before any later changes in association.
  • B. associatedWithAssociation
    Indicates a relationship where an entity is linked or connected to a particular association or organization.
  • C. leaderAssociatedWith
    Indicates a relationship where a leader is connected or affiliated with a particular entity, such as an organization, group, or cause.
  • D. isAssociatedWith chosen
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • E. associatedWithCourt
    Indicates a relationship in which an entity is linked or connected to a specific court, such as through jurisdiction, affiliation, or involvement in legal proceedings.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0255c8c308190821f968ec41c5078 completed March 22, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69c021c8195481909419808b002628aa completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:47 p.m.