Triple

T21001580
Position Surface form Disambiguated ID Type / Status
Subject Love Henry E517302 entity
Predicate adaptationOf P1926 FINISHED
Object Young Hunting NE NERFINISHED

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: Young Hunting | Statement: [Love Henry, adaptationOf, Young Hunting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young Hunting
Context triple: [Love Henry, adaptationOf, Young Hunting]
  • A. Young Hunting chosen
    "Young Hunting" is a traditional Scottish murder ballad in which a woman kills her unfaithful lover and attempts to conceal the crime.
  • B. Hunting for You
    "Hunting for You" is a song featured on the album *Take the Crown* by British singer-songwriter Robbie Williams.
  • C. The Hunting
    The Hunting is an Australian television drama series that explores the impact of teenage sexting scandals on students, families, and teachers.
  • D. Hunters
    Hunters is a television drama series about a diverse group of Nazi hunters in 1970s America who uncover and pursue a clandestine Nazi conspiracy.
  • E. Hunters
    Hunters is a residential neighborhood located within the Kasarani area of Nairobi, Kenya.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc25c1f8819086bdbfd89d390f5f completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.