Triple
T19550328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Time Low |
E489182
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Dirty Laundry
"Dirty Laundry" is a 2017 pop-punk/alternative single by American band All Time Low, known for its darker, more mature sound and introspective lyrics.
|
E1382508
|
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: Dirty Laundry | Statement: [All Time Low, notableSong, Dirty Laundry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirty Laundry Context triple: [All Time Low, notableSong, Dirty Laundry]
-
A.
Dirty Laundry
Dirty Laundry is a film directed by American filmmaker Phil Joanou.
-
B.
Dirty Laundry
"Dirty Laundry" is a 1982 satirical rock song by Don Henley that criticizes sensationalist and unethical practices in television news media.
-
C.
Dirty Pants
"Dirty Pants" is a song featured on the album "Rain on Lens" by the indie rock band Smog (Bill Callahan).
-
D.
Launder
Launder is an English surname most notably associated with Frank Launder, a prominent British film director, producer, and screenwriter.
-
E.
Dirty Hands
Dirty Hands is a politically charged existentialist play by Jean-Paul Sartre that explores moral ambiguity, revolutionary ethics, and the conflict between ideology and personal responsibility.
- 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: Dirty Laundry Triple: [All Time Low, notableSong, Dirty Laundry]
Generated description
"Dirty Laundry" is a 2017 pop-punk/alternative single by American band All Time Low, known for its darker, more mature sound and introspective lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dirty Laundry Target entity description: "Dirty Laundry" is a 2017 pop-punk/alternative single by American band All Time Low, known for its darker, more mature sound and introspective lyrics.
-
A.
Dirty Laundry
"Dirty Laundry" is a 1982 satirical rock song by Don Henley that criticizes sensationalist and unethical practices in television news media.
-
B.
Dirty Laundry
Dirty Laundry is a film directed by American filmmaker Phil Joanou.
-
C.
Dirty Pants
"Dirty Pants" is a song featured on the album "Rain on Lens" by the indie rock band Smog (Bill Callahan).
-
D.
Launder
Launder is an English surname most notably associated with Frank Launder, a prominent British film director, producer, and screenwriter.
-
E.
Dirty Hands
Dirty Hands is a politically charged existentialist play by Jean-Paul Sartre that explores moral ambiguity, revolutionary ethics, and the conflict between ideology and personal responsibility.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2feed48190ad49f64980dc885f |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e8c84b88190be1790514c9c5481 |
completed | May 15, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_6a074f5df2c0819096c05a61b03d5145 |
completed | May 15, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07550147048190937b71f7f4d116cd |
completed | May 15, 2026, 5:16 p.m. |
Created at: April 10, 2026, 1:41 p.m.