Triple

T14838249
Position Surface form Disambiguated ID Type / Status
Subject Sidonia E348887 entity
Predicate notableDialogueTopic P5303 FINISHED
Object influence of money on politics 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: influence of money on politics | Statement: [Sidonia, notableDialogueTopic, influence of money on politics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableDialogueTopic
Context triple: [Sidonia, notableDialogueTopic, influence of money on politics]
  • A. notableArticleTopic
    Indicates that an article is notably about, focused on, or significantly discusses a particular topic.
  • B. notableDebateMoment
    Indicates a particularly significant or memorable moment that occurred during a debate, often cited or recalled as especially impactful.
  • C. frequentlyDiscussedIn chosen
    Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
  • D. notablePersonDiscussed
    Indicates that the subject entity includes or features a discussion about the referenced notable person.
  • E. notableEpisodeTopics
    Indicates that there is a notable or significant topic discussed in a particular episode.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28d0ddc8190a34e3e2d469ab762 completed April 14, 2026, 11:49 p.m.
PD Predicate disambiguation batch_69de8c13418c819088ff9905ace1416a completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:52 a.m.