Triple

T2677024
Position Surface form Disambiguated ID Type / Status
Subject Jedediah Leland E56483 entity
Predicate loyaltyTo P1201 FINISHED
Object Charles Foster Kane’s original principles 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 original principles | Statement: [Jedediah Leland, loyaltyTo, Charles Foster Kane’s original principles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: loyaltyTo
Context triple: [Jedediah Leland, loyaltyTo, Charles Foster Kane’s original principles]
  • A. allegiance chosen
    Indicates a relationship where one entity is loyal, committed, or obligated in support or service to another entity.
  • B. loyaltyDomain
    Indicates a relationship where loyalty, allegiance, or steadfast support is directed toward or governed by a particular domain, context, or sphere of influence.
  • C. 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.
  • D. loyaltyProgramType
    Indicates the specific category or kind of loyalty program associated with an entity (such as points-based, tiered, or subscription-based).
  • E. laterLoyalty
    Indicates that one entity becomes loyal to another at a later time, rather than from the outset of their relationship.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abda2f7bf88190a1e3103dd014d871 completed March 7, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69abd81ab9d08190b72b6104c6dbc769 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:54 p.m.