Triple

T1794280
Position Surface form Disambiguated ID Type / Status
Subject Oceanic E39568 entity
Predicate hasTrack P3284 FINISHED
Object Sirens' Whispering
"Sirens' Whispering" is a track by the musical project Oceanic, likely evoking an atmospheric, sea-inspired soundscape.
 E200916 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: Sirens' Whispering | Statement: [Oceanic, hasTrack, Sirens' Whispering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sirens' Whispering
Context triple: [Oceanic, hasTrack, Sirens' Whispering]
  • A. Sirens
    "Sirens" is a reflective, melodic rock ballad by Pearl Jam known for its emotional lyrics and expansive, atmospheric sound.
  • B. the Sirens
    The Sirens are mythical creatures from Greek mythology whose irresistibly beautiful song lures sailors to their doom.
  • C. Song of Seven
    "Song of Seven" is a 1980 progressive rock solo album by Jon Anderson, blending spiritual themes with lush, melodic arrangements.
  • D. Whisper
    Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
  • E. Like the Sea
    "Like the Sea" is a soulful R&B ballad by Alicia Keys from her album "The Element of Freedom," noted for its serene, metaphor-rich lyrics and gentle, flowing melody.
  • 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: Sirens' Whispering
Triple: [Oceanic, hasTrack, Sirens' Whispering]
Generated description
"Sirens' Whispering" is a track by the musical project Oceanic, likely evoking an atmospheric, sea-inspired soundscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sirens' Whispering
Target entity description: "Sirens' Whispering" is a track by the musical project Oceanic, likely evoking an atmospheric, sea-inspired soundscape.
  • A. Sirens
    "Sirens" is a reflective, melodic rock ballad by Pearl Jam known for its emotional lyrics and expansive, atmospheric sound.
  • B. the Sirens
    The Sirens are mythical creatures from Greek mythology whose irresistibly beautiful song lures sailors to their doom.
  • C. Song of Seven
    "Song of Seven" is a 1980 progressive rock solo album by Jon Anderson, blending spiritual themes with lush, melodic arrangements.
  • D. Whisper
    Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
  • E. Like the Sea
    "Like the Sea" is a soulful R&B ballad by Alicia Keys from her album "The Element of Freedom," noted for its serene, metaphor-rich lyrics and gentle, flowing melody.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653c4c148190bfe6ac017ecbf695 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d26afc81909675064289d3a5b8 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb69c149081908b5b819c068a1ce2 completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8be528c819092a5e22b099fc2a0 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.