Triple

T33599366
Position Surface form Disambiguated ID Type / Status
Subject Mark (Love Actually) E860672 entity
Predicate settingOfConfession P191714 FINISHED
Object outside Juliet and Peter’s home 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: outside Juliet and Peter’s home | Statement: [Mark (Love Actually), settingOfConfession, outside Juliet and Peter’s home]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settingOfConfession
Context triple: [Mark (Love Actually), settingOfConfession, outside Juliet and Peter’s home]
  • A. usesConfession
    Indicates that one entity employs or relies on a confession (typically an admission of guilt or wrongdoing) as part of its actions or reasoning toward another entity or outcome.
  • B. acceptsConfession
    Indicates that one entity receives and acknowledges a confession made by another entity.
  • C. confessionUse
    Indicates that one entity makes use of or relies on a confession in relation to another entity or context.
  • D. recognizesConfession
    Indicates that one entity acknowledges and accepts another entity’s admission of guilt or wrongdoing as a valid confession.
  • E. usesConfessions
    Indicates that one entity employs or relies on another entity’s confessions as a basis for some action, decision, or outcome.
  • F. None of above. chosen

Provenance (4 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_69f3497f35908190a2e9bbb9b96c7a3f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fce7671f108190bf3ebf54339068b5 completed May 7, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69fce5b5a84c81908ac1b5b9f08d48d0 completed May 7, 2026, 7:19 p.m.
PDg Predicate description generation batch_69fce76669408190b1beef8899a8a5e2 completed May 7, 2026, 7:26 p.m.
Created at: May 1, 2026, 1:41 a.m.