Triple

T16191620
Position Surface form Disambiguated ID Type / Status
Subject I Now Pronounce You Chuck & Larry E392953 entity
Predicate hasLegalConflict P3010 FINISHED
Object investigation into fraudulent domestic partnership 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: investigation into fraudulent domestic partnership | Statement: [I Now Pronounce You Chuck & Larry, hasLegalConflict, investigation into fraudulent domestic partnership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalConflict
Context triple: [I Now Pronounce You Chuck & Larry, hasLegalConflict, investigation into fraudulent domestic partnership]
  • A. hasLegalIssue
    Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
  • B. conflictWithLaw
    Indicates that an action, situation, or entity violates, contradicts, or is incompatible with a law or legal regulation.
  • C. hasLegalProceeding chosen
    Indicates that there is a formal legal action, case, or proceeding involving the related entities.
  • D. hasLegalRelevanceIn
    Indicates that something is legally significant, applicable, or has consequences within a specified legal context, case, or jurisdiction.
  • E. hasNotableConflict
    Indicates a significant, recognized dispute, clash, or opposition existing between the related 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d5769c8190bbb604bfa095a1a5 completed April 17, 2026, 12:08 p.m.
PD Predicate disambiguation batch_69e219e11f6081909106b1240a17fd37 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:02 a.m.