Triple

T13599185
Position Surface form Disambiguated ID Type / Status
Subject Frank Jacson E324898 entity
Predicate coverStoryElement P68011 FINISHED
Object businessman 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: businessman | Statement: [Frank Jacson, coverStoryElement, businessman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coverStoryElement
Context triple: [Frank Jacson, coverStoryElement, businessman]
  • A. coverText
    Indicates that one text serves as the cover or front-facing textual representation for another work or resource.
  • B. cover
    Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
  • C. featuredElement chosen
    Indicates that one element is highlighted or given special prominence relative to others in a given context.
  • D. storyElement
    Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
  • E. headOfStoryOn
    Indicates that one entity serves as the main headline or leading title for a story that appears on another entity (such as a page or section).
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0795acc8190a08667ab9dcb0d44 completed April 12, 2026, 2:47 p.m.
PD Predicate disambiguation batch_69dbae18eaf48190809e8b365856cde9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:49 p.m.