Triple

T20004624
Position Surface form Disambiguated ID Type / Status
Subject Hannah Shoenfeld E494419 entity
Predicate hasStoryArcAbout P11859 FINISHED
Object consequences of reporting misconduct 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: consequences of reporting misconduct | Statement: [Hannah Shoenfeld, hasStoryArcAbout, consequences of reporting misconduct]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStoryArcAbout
Context triple: [Hannah Shoenfeld, hasStoryArcAbout, consequences of reporting misconduct]
  • A. notableStoryArc
    Indicates that there exists a significant or prominent narrative storyline or plot development involving the subject.
  • 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. 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.
  • D. hasNarrative chosen
    Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
  • E. originStoryIncludes
    Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a46c748190a141ab5aac6ea250 completed April 20, 2026, 5:25 p.m.
PD Predicate disambiguation batch_69e54cdddbd48190becc8b2aa5ab4ef9 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:33 p.m.