Triple

T976057
Position Surface form Disambiguated ID Type / Status
Subject Warning E21054 entity
Predicate hasPart P35 FINISHED
Object Warning (song)
"Warning" is a 2000 alternative rock song by American band Green Day, released as the title track and single from their sixth studio album.
E114542 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: Warning (song) | Statement: [Warning, hasPart, Warning (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warning (song)
Context triple: [Warning, hasPart, Warning (song)]
  • A. Whisper
    Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
  • B. Yell
    Yell is one of the larger inhabited islands in the Shetland archipelago of Scotland, known for its rugged coastline, wildlife, and remote rural communities.
  • C. Wake Up
    "Wake Up" is a soulful R&B song by Alicia Keys featured on her acclaimed album *The Diary of Alicia Keys*.
  • D. They Say
    "They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
  • E. Song to Song
    Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
  • 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: Warning (song)
Triple: [Warning, hasPart, Warning (song)]
Generated description
"Warning" is a 2000 alternative rock song by American band Green Day, released as the title track and single from their sixth studio album.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Warning (song)
Target entity description: "Warning" is a 2000 alternative rock song by American band Green Day, released as the title track and single from their sixth studio album.
  • A. Whisper
    Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
  • B. Yell
    Yell is one of the larger inhabited islands in the Shetland archipelago of Scotland, known for its rugged coastline, wildlife, and remote rural communities.
  • C. Wake Up
    "Wake Up" is a soulful R&B song by Alicia Keys featured on her acclaimed album *The Diary of Alicia Keys*.
  • D. They Say
    "They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
  • E. Song to Song
    Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46234c88190b2bfc9cafe59d7f7 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170c0fdc8190b904ca5737764f5a completed March 7, 2026, 12:16 p.m.
NEDg Description generation batch_69ac17c2e6f48190be6fce7f279957c4 completed March 7, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69ac1845d6948190af8994e431ef357f completed March 7, 2026, 12:21 p.m.
Created at: March 1, 2026, 7:40 p.m.