Triple

T37853391
Position Surface form Disambiguated ID Type / Status
Subject James Leeds E944116 entity
Predicate philosophicalConflict P22586 FINISHED
Object oralism vs sign language 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: oralism vs sign language | Statement: [James Leeds, philosophicalConflict, oralism vs sign language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: philosophicalConflict
Context triple: [James Leeds, philosophicalConflict, oralism vs sign language]
  • A. hasIdeologicalConflict chosen
    Indicates a relationship where two entities hold opposing or incompatible ideologies that put them in conflict with each other.
  • B. loreConflict
    Indicates that there is an inconsistency, contradiction, or incompatibility between pieces of lore or canonical information.
  • C. societalConflict
    Indicates a relationship where groups or individuals within a society are in opposition or tension over values, resources, power, or social norms.
  • D. combatPhilosophy
    Indicates a relationship where an entity’s approach to combat is guided by a particular set of principles, strategies, or ethical beliefs.
  • E. exploresConflictBetween
    Indicates a relationship where one entity examines, analyzes, or delves into the tensions, disagreements, or opposing forces involving another entity or set of entities.
  • 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_69f76eed4d9c81908b1b71ba9e3b61fe completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd166a488190b1bf9316b0790801 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:19 p.m.