Triple

T26951590
Position Surface form Disambiguated ID Type / Status
Subject Owen Bieber E678788 entity
Predicate ledOrganizationDuring P161369 FINISHED
Object economic challenges in the U.S. auto industry 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: economic challenges in the U.S. auto industry | Statement: [Owen Bieber, ledOrganizationDuring, economic challenges in the U.S. auto industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ledOrganizationDuring
Context triple: [Owen Bieber, ledOrganizationDuring, economic challenges in the U.S. auto industry]
  • A. ledOrganizationDuring chosen
    Indicates that a person held a leadership role in an organization for a specified period of time.
  • B. organizationLed
    Indicates that one organization provides leadership, direction, or governance over another organization or collective effort.
  • C. ledFrom
    Indicates that one entity served as the source or origin from which another entity was led or guided.
  • D. leadingOrgan
    Indicates that one entity serves as the primary or most responsible organizing body or authority for another entity or activity.
  • E. organisedDuring
    Indicates that an organizing action or arrangement took place within the time span of a specified event or period.
  • 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_69eeeb4e75f08190b14fc91ca4a91488 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62089ffe48190b0f7ea25369b1fbf completed May 2, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69f61b3d23f481908dfec27adace900a completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 6:24 a.m.