Triple

T18781134
Position Surface form Disambiguated ID Type / Status
Subject Lavorare stanca E459258 entity
Predicate titleTranslation P38 FINISHED
Object Hard Labor 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: Hard Labor | Statement: [Lavorare stanca, titleTranslation, Hard Labor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hard Labor
Context triple: [Lavorare stanca, titleTranslation, Hard Labor]
  • A. Hard Work chosen
    "Hard Work" is a song by English singer-songwriter Ella Henderson, known for its soulful vocals and emotionally reflective lyrics.
  • B. Dirty Work
    "Dirty Work" is a 1986 studio album by the Rolling Stones, known for its hard rock sound, turbulent recording period, and mixed critical reception.
  • C. Dirty Work
    "Dirty Work" is a soft rock song by Steely Dan, known for its smooth melody, soulful vocals, and themes of infidelity and moral compromise.
  • D. Dirty Work
    "Dirty Work" is a 1998 American comedy film starring Norm Macdonald and Artie Lange, directed by Bob Saget.
  • E. Steady Work
    Steady Work is a collection of essays by literary critic and social commentator Irving Howe, reflecting his engagement with politics, culture, and literature.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5933ee89481908b647802961e4519 completed April 20, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:52 a.m.