Triple

T8957561
Position Surface form Disambiguated ID Type / Status
Subject Robert Jenkins E213513 entity
Predicate hasStoryRetoldIn P11859 FINISHED
Object British political speeches 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: British political speeches | Statement: [Robert Jenkins, hasStoryRetoldIn, British political speeches]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStoryRetoldIn
Context triple: [Robert Jenkins, hasStoryRetoldIn, British political speeches]
  • A. hasInfluentialStory
    Indicates that one entity possesses or is associated with a story that significantly shapes, impacts, or guides the beliefs, actions, or development of another entity.
  • B. hasAllyInStory
    Indicates that one entity is portrayed as an ally or supportive partner of another entity within the context of a specific story or narrative.
  • C. hasExpandedNarrativesIn
    Indicates that something has developed or introduced more detailed, diverse, or extensive narratives within a specified context or medium.
  • D. hasFlashbackStorylines
    Indicates that the narrative includes scenes or sequences set in earlier time periods that reveal past events related to the main storyline.
  • E. hasNarrative chosen
    Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6729ab7c8190a6168f0aa70a5520 completed April 1, 2026, 12:30 a.m.
PD Predicate disambiguation batch_69cc5ed74d288190b712d739805579dc completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7 p.m.