Triple

T20294975
Position Surface form Disambiguated ID Type / Status
Subject To Venus and Back E510121 entity
Predicate track P17929 FINISHED
Object Lust 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: Lust | Statement: [To Venus and Back, track, Lust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lust
Context triple: [To Venus and Back, track, Lust]
  • A. Lust
    Lust is a controversial and stylistically experimental novel by Austrian Nobel laureate Elfriede Jelinek that offers a stark, feminist critique of sexual violence and patriarchal power.
  • B. Lust chosen
    "Lust" is a song featured on the album *The Curtain Hits the Cast* by the American indie rock band Low.
  • C. Desire
    Desire is a 1976 studio album by Bob Dylan, noted for its storytelling lyrics, prominent violin arrangements, and songs like "Hurricane" and "Sara."
  • D. Desire
    "Desire" is a hit rock song by U2, known for its Bo Diddley–inspired rhythm and prominent role in the band's late-1980s work.
  • E. Desire
    Desire was the 16th-century English ship commanded by John Davis that is historically associated with the early European discovery of the Falkland Islands.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6770714c4819080e3256325747ebf completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:13 a.m.