Triple

T33599381
Position Surface form Disambiguated ID Type / Status
Subject Mark (Love Actually) E860672 entity
Predicate hasFandomDebateAbout P142728 FINISHED
Object ethics of his confession to Juliet 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: ethics of his confession to Juliet | Statement: [Mark (Love Actually), hasFandomDebateAbout, ethics of his confession to Juliet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFandomDebateAbout
Context triple: [Mark (Love Actually), hasFandomDebateAbout, ethics of his confession to Juliet]
  • A. hasDebateAround chosen
    Indicates that there is ongoing discussion, disagreement, or controversy surrounding the referenced entity or topic.
  • B. debatedBetween
    Indicates a situation in which two or more parties engage in a discussion or argument over differing views about a particular issue or topic.
  • C. hasSourceOfDebate
    Indicates that something is the origin or cause of an ongoing disagreement, controversy, or dispute between parties.
  • D. hasLongTermDebateOn
    Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
  • E. debatedWithin
    Indicates that something is discussed or argued about within a particular group, context, or domain.
  • 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_69f3497f35908190a2e9bbb9b96c7a3f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fd67191cf88190b53ecbf5be3564e9 completed May 8, 2026, 4:31 a.m.
PD Predicate disambiguation batch_69fd654fdaac81908e67e75194710f06 completed May 8, 2026, 4:23 a.m.
Created at: May 1, 2026, 1:41 a.m.