Triple

T16436841
Position Surface form Disambiguated ID Type / Status
Subject Trouble E399199 entity
Predicate followedBy P78 FINISHED
Object Lovehunter E399200 NE 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: Lovehunter | Statement: [Trouble, followedBy, Lovehunter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lovehunter
Context triple: [Trouble, followedBy, Lovehunter]
  • A. Lovehunter chosen
    Lovehunter is a 1979 hard rock album by British band Whitesnake, noted for its bluesy sound and controversial cover art.
  • B. The MatchMaker
    The MatchMaker is a romantic comedy film best known for its lighthearted story about love and relationships, released in the late 1990s.
  • C. Matchmakers
    Matchmakers is a popular Ukrainian comedy television series produced by Kvartal 95 Studio that follows the humorous clashes and relationships between two very different families.
  • D. The Love Match
    The Love Match is a British stage comedy (later adapted for film and television) best known for featuring actress Thora Hird in a prominent role.
  • E. Manlove
    Manlove is an English-language surname borne by various notable individuals, including figures in politics, sports, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba49f3481908e7ea62467ef5813 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058143cb88190943b951cc8e47a66 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.