Triple

T6465689
Position Surface form Disambiguated ID Type / Status
Subject Roxy Music E142227 entity
Predicate notableWork P4 FINISHED
Object Siren
"Siren" is a 1975 art rock album by Roxy Music, noted for its sophisticated sound, innovative production, and iconic cover art.
 E593597 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: Siren | Statement: [Roxy Music, notableWork, Siren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Siren
Context triple: [Roxy Music, notableWork, Siren]
  • A. Sirens
    "Sirens" is a British comedy-drama television series in which Richard Madden stars as a paramedic navigating the darkly humorous and chaotic realities of emergency medical work.
  • B. Sirens
    "Sirens" is a reflective, melodic rock ballad by Pearl Jam known for its emotional lyrics and expansive, atmospheric sound.
  • C. the Sirens
    The Sirens are mythical creatures from Greek mythology whose irresistibly beautiful song lures sailors to their doom.
  • D. La Sirena
    La Sirena is a privately owned, Kaplan F17 speed freighter starship captained by Cristóbal Rios and used as the primary vessel by Jean-Luc Picard and his allies in the series Star Trek: Picard.
  • E. Sirens' Whispering
    "Sirens' Whispering" is a track by the musical project Oceanic, likely evoking an atmospheric, sea-inspired soundscape.
  • 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: Siren
Triple: [Roxy Music, notableWork, Siren]
Generated description
"Siren" is a 1975 art rock album by Roxy Music, noted for its sophisticated sound, innovative production, and iconic cover art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Siren
Target entity description: "Siren" is a 1975 art rock album by Roxy Music, noted for its sophisticated sound, innovative production, and iconic cover art.
  • A. Sirens
    "Sirens" is a British comedy-drama television series in which Richard Madden stars as a paramedic navigating the darkly humorous and chaotic realities of emergency medical work.
  • B. Sirens
    "Sirens" is a reflective, melodic rock ballad by Pearl Jam known for its emotional lyrics and expansive, atmospheric sound.
  • C. the Sirens
    The Sirens are mythical creatures from Greek mythology whose irresistibly beautiful song lures sailors to their doom.
  • D. La Sirena
    La Sirena is a privately owned, Kaplan F17 speed freighter starship captained by Cristóbal Rios and used as the primary vessel by Jean-Luc Picard and his allies in the series Star Trek: Picard.
  • E. Sirens' Whispering
    "Sirens' Whispering" is a track by the musical project Oceanic, likely evoking an atmospheric, sea-inspired soundscape.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a1159ec81909bbfa9a9d6fa1616 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bea685c8190ad647a61b6e969e5 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64d5f8dcc81908dc15e75acac8d16 completed March 27, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69c64dcfe90c819080dfc48240068d37 completed March 27, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:49 p.m.