Triple

T11272355
Position Surface form Disambiguated ID Type / Status
Subject Michael Bolton E266843 entity
Predicate album P1995 FINISHED
Object Songs of Cinema
Songs of Cinema is a studio album by Michael Bolton featuring his interpretations of famous songs from popular films.
 E916193 NE FINISHED

How this triple was built (4 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: Songs of Cinema | Statement: [Michael Bolton, album, Songs of Cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Songs of Cinema
Context triple: [Michael Bolton, album, Songs of Cinema]
  • A. Music for the Flicks
    Music for the Flicks is a musical work by American composer Jerome Moross, best known for his film and television scores.
  • B. Living at the Movies
    Living at the Movies is a poetry collection by American writer and punk icon Jim Carroll, known for its vivid, streetwise depictions of urban life and youth.
  • C. Songs and Dances of Death
    Songs and Dances of Death is a song cycle by Modest Mussorgsky that sets macabre, dramatic poems about encounters with Death to powerful, expressive music.
  • D. Celluloid
    Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
  • E. Film Begets Film
    Film Begets Film is a critical study by film historian Jay Leyda that examines the influence of existing films on the creation and evolution of new cinematic works.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Songs of Cinema
Triple: [Michael Bolton, album, Songs of Cinema]
Generated description
Songs of Cinema is a studio album by Michael Bolton featuring his interpretations of famous songs from popular films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Songs of Cinema
Target entity description: Songs of Cinema is a studio album by Michael Bolton featuring his interpretations of famous songs from popular films.
  • A. Music for the Flicks
    Music for the Flicks is a musical work by American composer Jerome Moross, best known for his film and television scores.
  • B. Living at the Movies
    Living at the Movies is a poetry collection by American writer and punk icon Jim Carroll, known for its vivid, streetwise depictions of urban life and youth.
  • C. Songs and Dances of Death
    Songs and Dances of Death is a song cycle by Modest Mussorgsky that sets macabre, dramatic poems about encounters with Death to powerful, expressive music.
  • D. Celluloid
    Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
  • E. Film Begets Film
    Film Begets Film is a critical study by film historian Jay Leyda that examines the influence of existing films on the creation and evolution of new cinematic works.
  • F. None of above. chosen

Provenance (5 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f43633948190b86f5603ac50ec47 completed April 19, 2026, 3:26 p.m.
NEDg Description generation batch_69e4f9596e1081908e7b319f77453438 completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff5881b8819080f9662a0c2d486d completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:31 p.m.