Triple

T15293882
Position Surface form Disambiguated ID Type / Status
Subject Going Hollywood E365601 entity
Predicate featuresSong P2152 FINISHED
Object Temptation E299554 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: Temptation | Statement: [Going Hollywood, featuresSong, Temptation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temptation
Context triple: [Going Hollywood, featuresSong, Temptation]
  • A. Temptation chosen
    "Temptation" is a popular song from the early 1930s, best known for its enduring status as a pop standard frequently recorded by major vocalists and big bands.
  • B. Temptation
    "Temptation" is a 1982 synth-driven post-punk single by New Order, widely regarded as one of the band’s defining early tracks and a classic of alternative dance music.
  • C. Temptation
    Temptation is a 2004 American television film that reimagines the biblical story of Job in a contemporary setting, starring Adam Pascal and Alice Ripley.
  • D. Temptation
    "Temptation" is a song by the British rock band Empress.
  • E. Temptation
    "Temptation" is a popular Afrobeat/R&B song by Nigerian music duo P-Square, known for its catchy melody and romantic theme.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03682ea488190ac82fdbd0e855d34 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef899e55c8190b1c26491bf37967a completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:15 a.m.