Triple
T2437858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of Modern Art (Mexico City) |
E53201
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MAM
MAM is a prominent modern art museum in Mexico City known for its extensive collection of 20th- and 21st-century Mexican and international artworks.
|
E269210
|
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: MAM | Statement: [Museum of Modern Art (Mexico City), shortName, MAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAM Context triple: [Museum of Modern Art (Mexico City), shortName, MAM]
-
A.
MAMAC
MAMAC is a modern and contemporary art museum in Nice, France, known for its collections of postwar European and American art.
-
B.
Mam
Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
-
C.
MOM
MOM is India’s first interplanetary spacecraft, a Mars orbiter launched by ISRO that made India the first Asian nation to reach Martian orbit.
-
D.
Ma$e
Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
-
E.
Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
- 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: MAM Triple: [Museum of Modern Art (Mexico City), shortName, MAM]
Generated description
MAM is a prominent modern art museum in Mexico City known for its extensive collection of 20th- and 21st-century Mexican and international artworks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MAM Target entity description: MAM is a prominent modern art museum in Mexico City known for its extensive collection of 20th- and 21st-century Mexican and international artworks.
-
A.
MAMAC
MAMAC is a modern and contemporary art museum in Nice, France, known for its collections of postwar European and American art.
-
B.
Mam
Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
-
C.
MOM
MOM is India’s first interplanetary spacecraft, a Mars orbiter launched by ISRO that made India the first Asian nation to reach Martian orbit.
-
D.
Ma$e
Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
-
E.
Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f4d2dc8190b3c264a6c20d1bd5 |
completed | March 7, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0ad31b8819084813b65b46bc9fc |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69af118dc6908190a3efb36fcabfe1b3 |
completed | March 9, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af11ecbb0c819099d3041be2935053 |
completed | March 9, 2026, 6:31 p.m. |
Created at: March 6, 2026, 9:43 p.m.