Triple
T14489499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Blood |
E359324
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object |
Little Monster
"Little Monster" is a rock song by the British duo Royal Blood, known for its heavy bass-driven riffs and energetic, minimalist sound.
|
E1103526
|
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: Little Monster | Statement: [Royal Blood, notableSingle, Little Monster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Monster Context triple: [Royal Blood, notableSingle, Little Monster]
-
A.
Little Monster
Little Monster is a nickname for Stitch, the mischievous blue alien experiment from Disney's "Lilo & Stitch" franchise.
-
B.
Miquela
Miquela is a feminine given name, commonly used in Spanish- and Portuguese-speaking cultures as a variant of Michaela or Michelle.
-
C.
Woozi
Woozi is a South Korean singer, producer, and songwriter best known as the main producer and a vocalist of the K-pop boy group Seventeen.
-
D.
Horami
Horami is an alternative name for the Hewrami dialect, a variety of Kurdish spoken primarily in the Hawraman region spanning parts of Iran and Iraq.
-
E.
Messy Mya
Messy Mya was a New Orleans bounce rapper, comedian, and internet personality known for his viral YouTube videos and influence on the city’s bounce music scene.
- 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: Little Monster Triple: [Royal Blood, notableSingle, Little Monster]
Generated description
"Little Monster" is a rock song by the British duo Royal Blood, known for its heavy bass-driven riffs and energetic, minimalist sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Monster Target entity description: "Little Monster" is a rock song by the British duo Royal Blood, known for its heavy bass-driven riffs and energetic, minimalist sound.
-
A.
Little Monster
Little Monster is a nickname for Stitch, the mischievous blue alien experiment from Disney's "Lilo & Stitch" franchise.
-
B.
Miquela
Miquela is a feminine given name, commonly used in Spanish- and Portuguese-speaking cultures as a variant of Michaela or Michelle.
-
C.
Woozi
Woozi is a South Korean singer, producer, and songwriter best known as the main producer and a vocalist of the K-pop boy group Seventeen.
-
D.
Horami
Horami is an alternative name for the Hewrami dialect, a variety of Kurdish spoken primarily in the Hawraman region spanning parts of Iran and Iraq.
-
E.
Messy Mya
Messy Mya was a New Orleans bounce rapper, comedian, and internet personality known for his viral YouTube videos and influence on the city’s bounce music scene.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d90f86081908b25f3eb90042c73 |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6f80e3a081908c43915275898852 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7016a3c48190a1ea2fefeea92c60 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:20 a.m.