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.