Triple

T4082908
Position Surface form Disambiguated ID Type / Status
Subject Mr. Bernstein E87518 entity
Predicate loyaltyDepictedTo P1201 FINISHED
Object Charles Foster Kane’s business interests 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: Charles Foster Kane’s business interests | Statement: [Mr. Bernstein, loyaltyDepictedTo, Charles Foster Kane’s business interests]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: loyaltyDepictedTo
Context triple: [Mr. Bernstein, loyaltyDepictedTo, Charles Foster Kane’s business interests]
  • A. loyaltyConflict
    Indicates a situation where an entity’s loyalties to different people, groups, or principles are in tension or opposition, creating a conflict in choosing whom or what to support.
  • B. allegiance chosen
    Indicates a relationship where one entity is loyal, committed, or obligated in support or service to another entity.
  • C. loyaltyDomain
    Indicates a relationship where loyalty, allegiance, or steadfast support is directed toward or governed by a particular domain, context, or sphere of influence.
  • D. loyaltyIntegration
    Indicates the degree to which a loyalty or rewards program is connected, synchronized, or functionally embedded with another system, platform, or service.
  • E. loyaltyProgramType
    Indicates the specific category or kind of loyalty program associated with an entity (such as points-based, tiered, or subscription-based).
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7933b481909bb3e02c6c04c8ee completed March 9, 2026, 4:59 p.m.
PD Predicate disambiguation batch_69aef9082c2081908474f082a49bebc8 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:39 p.m.