Triple
T4625265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The MAD Museum |
E101082
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
MAD
MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
|
E456394
|
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: MAD | Statement: [The MAD Museum, acronym, MAD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAD Context triple: [The MAD Museum, acronym, MAD]
-
A.
MAD
MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
B.
U Mad
"U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
-
C.
MDA
MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
-
D.
MDA
MDA is a Canadian space technology company known for developing advanced satellite systems, robotics, and Earth observation solutions.
-
E.
MDA
MDA is the United States Missile Defense Agency, a Department of Defense organization responsible for developing and deploying systems to defend the U.S. and its allies against ballistic missile threats.
- 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: MAD Triple: [The MAD Museum, acronym, MAD]
Generated description
MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MAD Target entity description: MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
-
A.
MAD
MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
B.
U Mad
"U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
-
C.
MDA
MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
-
D.
MDA
MDA is a Canadian space technology company known for developing advanced satellite systems, robotics, and Earth observation solutions.
-
E.
MDA
MDA is the United States Missile Defense Agency, a Department of Defense organization responsible for developing and deploying systems to defend the U.S. and its allies against ballistic missile threats.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a08ef488190af46418229309b0f |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaa564988190b565c26b9cd3d3be |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb6fa3fc8190b79b641025710eb1 |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbeddd7c8190955bd3363fec4ca1 |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:13 p.m.