Triple
T3329686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Of Monsters and Men |
E70003
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Dirty Paws
"Dirty Paws" is a popular indie folk song by the Icelandic band Of Monsters and Men, known for its whimsical storytelling and anthemic, layered sound.
|
E347843
|
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 Paws | Statement: [Of Monsters and Men, notableWork, Dirty Paws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirty Paws Context triple: [Of Monsters and Men, notableWork, Dirty Paws]
-
A.
Paws
Paws is the costumed team mascot of the WNBA’s Washington Mystics, entertaining fans at games and events.
-
B.
Paws
Paws is the anthropomorphic tiger mascot of the Detroit Tigers Major League Baseball team, known for entertaining fans at games and community events.
-
C.
Bumpy Dog
Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
-
D.
Mad Dogs
Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
-
E.
The Dog Pound
The Dog Pound is the passionate student cheering section known for creating an energetic home-ice atmosphere at Boston University Terriers men's hockey games.
- 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 Paws Triple: [Of Monsters and Men, notableWork, Dirty Paws]
Generated description
"Dirty Paws" is a popular indie folk song by the Icelandic band Of Monsters and Men, known for its whimsical storytelling and anthemic, layered sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dirty Paws Target entity description: "Dirty Paws" is a popular indie folk song by the Icelandic band Of Monsters and Men, known for its whimsical storytelling and anthemic, layered sound.
-
A.
Paws
Paws is the costumed team mascot of the WNBA’s Washington Mystics, entertaining fans at games and events.
-
B.
Paws
Paws is the anthropomorphic tiger mascot of the Detroit Tigers Major League Baseball team, known for entertaining fans at games and community events.
-
C.
Bumpy Dog
Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
-
D.
Mad Dogs
Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
-
E.
The Dog Pound
The Dog Pound is the passionate student cheering section known for creating an energetic home-ice atmosphere at Boston University Terriers men's hockey games.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a810e2c8190bfc206bdeb1ac5b8 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c37f3a08190823c32e8f933ce82 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31caa4e188190b4dfd613fdaebdb6 |
completed | March 12, 2026, 8:06 p.m. |
Created at: March 8, 2026, 3:12 p.m.