Triple

T15938192
Position Surface form Disambiguated ID Type / Status
Subject Too Hot to Sleep E386491 entity
Predicate trackList P66182 FINISHED
Object Desperate Dreams E1184479 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: Desperate Dreams | Statement: [Too Hot to Sleep, trackList, Desperate Dreams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Desperate Dreams
Context triple: [Too Hot to Sleep, trackList, Desperate Dreams]
  • A. Desperate Dreams chosen
    "Desperate Dreams" is a rock song co-written by guitarist and songwriter Frankie Sullivan, best known for his work with the band Survivor.
  • B. So Much for Dreaming
    So Much for Dreaming is a folk music album by the Canadian duo Ian and Sylvia, showcasing their signature harmonies and songwriting.
  • C. Darn That Dream
    Darn That Dream is a popular jazz and pop standard from the late 1930s, known for its lush melody and frequent performances by prominent vocalists and instrumentalists.
  • D. Runaway Dreams
    Runaway Dreams is a little-known film notable today primarily for featuring actress Kathryn Erbe in her first screen role.
  • E. In My Dreams
    "In My Dreams" is a key musical number from the stage adaptation of the animated film *Anastasia*, expressing the heroine Anya’s longing for her lost past and identity.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ac934c8190b6178eb66023252e completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7455c48190bfad24eb8905426d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.