Triple
T1812493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Gaga |
E40359
|
entity |
| Predicate | hasFanBase |
P897
|
FINISHED |
| Object |
Little Monsters
Little Monsters is the devoted global fanbase of pop artist Lady Gaga, known for its passionate support and strong sense of community and identity.
|
E200828
|
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 Monsters | Statement: [Lady Gaga, hasFanBase, Little Monsters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Monsters Context triple: [Lady Gaga, hasFanBase, Little Monsters]
-
A.
Little Heroes
Little Heroes is a cyberpunk science fiction novel by Norman Spinrad that explores the commercialization of music and culture in a near-future, media-saturated society.
-
B.
Maimies
Maimies is an alternate historical name for the Mayaimi people, a Native American group that once inhabited the Lake Okeechobee region of present-day Florida.
-
C.
Mitey-Mite
Mitey-Mite is a youth football age division in Pop Warner programs for the youngest players, typically around 7–9 years old.
-
D.
The Grouch
The Grouch is a song by the American punk rock band Green Day, featured on their 1997 album "Nimrod."
-
E.
Kiddyland
Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
- 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 Monsters Triple: [Lady Gaga, hasFanBase, Little Monsters]
Generated description
Little Monsters is the devoted global fanbase of pop artist Lady Gaga, known for its passionate support and strong sense of community and identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Monsters Target entity description: Little Monsters is the devoted global fanbase of pop artist Lady Gaga, known for its passionate support and strong sense of community and identity.
-
A.
Little Heroes
Little Heroes is a cyberpunk science fiction novel by Norman Spinrad that explores the commercialization of music and culture in a near-future, media-saturated society.
-
B.
Maimies
Maimies is an alternate historical name for the Mayaimi people, a Native American group that once inhabited the Lake Okeechobee region of present-day Florida.
-
C.
Mitey-Mite
Mitey-Mite is a youth football age division in Pop Warner programs for the youngest players, typically around 7–9 years old.
-
D.
The Grouch
The Grouch is a song by the American punk rock band Green Day, featured on their 1997 album "Nimrod."
-
E.
Kiddyland
Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c775408190b4f5912786720e28 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5e5142c8190bc90da38b02e95e2 |
completed | March 8, 2026, 5:46 p.m. |
| NEDg | Description generation | batch_69adb69d10188190b78bece656249ecd |
completed | March 8, 2026, 5:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb8c122e881908f0640edc5aaf305 |
completed | March 8, 2026, 5:58 p.m. |
Created at: March 4, 2026, 7:32 p.m.