Triple
T13733155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Speed Scene |
E329861
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object |
Allaboutit
"Allaboutit" is a song by the American punk rock band High Speed Scene, known for its energetic, guitar-driven sound.
|
E1057124
|
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: Allaboutit | Statement: [High Speed Scene, hasSong, Allaboutit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allaboutit Context triple: [High Speed Scene, hasSong, Allaboutit]
-
A.
Everything
"Everything" is a song by the American punk rock band Hardline, recognized as one of their standout tracks.
-
B.
ALL
ALL is the stock ticker symbol for Allstate Corporation, a major U.S. insurance company known primarily for its auto and home insurance products.
-
C.
What’s It All About?
"What’s It All About?" is the autobiography of British actress and humanitarian Julie Andrews, recounting her early life and rise to stardom.
-
D.
TUDO
TUDO is the commonly used abbreviation for TU Dortmund University, a technical university in Dortmund, Germany known for its engineering, natural sciences, and computer science programs.
-
E.
.info
.info is a generic top-level domain (gTLD) commonly used for informational websites on the internet.
- 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: Allaboutit Triple: [High Speed Scene, hasSong, Allaboutit]
Generated description
"Allaboutit" is a song by the American punk rock band High Speed Scene, known for its energetic, guitar-driven sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allaboutit Target entity description: "Allaboutit" is a song by the American punk rock band High Speed Scene, known for its energetic, guitar-driven sound.
-
A.
Everything
"Everything" is a song by the American punk rock band Hardline, recognized as one of their standout tracks.
-
B.
ALL
ALL is the stock ticker symbol for Allstate Corporation, a major U.S. insurance company known primarily for its auto and home insurance products.
-
C.
What’s It All About?
"What’s It All About?" is the autobiography of British actress and humanitarian Julie Andrews, recounting her early life and rise to stardom.
-
D.
TUDO
TUDO is the commonly used abbreviation for TU Dortmund University, a technical university in Dortmund, Germany known for its engineering, natural sciences, and computer science programs.
-
E.
.info
.info is a generic top-level domain (gTLD) commonly used for informational websites on the internet.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d66cb088190be2621753d0a6740 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e77b5e88190a85f4061c8abb8a4 |
completed | May 3, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79fa5249481909b2c046ed9801371 |
completed | May 3, 2026, 7:19 p.m. |
Created at: April 9, 2026, 9:55 p.m.