Triple
T12490103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becky G |
E298539
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | MAMIII |
E756818
|
NE FINISHED |
How this triple was built (2 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: MAMIII | Statement: [Becky G, notableWork, MAMIII]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAMIII Context triple: [Becky G, notableWork, MAMIII]
-
A.
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.
-
B.
Mamiii
chosen
"Mamiii" is a hit reggaeton song by Colombian singer Karol G, known for its empowering breakup theme and widespread commercial success across Latin music charts.
-
C.
MAMAC
MAMAC is a modern and contemporary art museum in Nice, France, known for its collections of postwar European and American art.
-
D.
Mam
Mam is a Mayan language spoken primarily by the Mam people in the western highlands of Guatemala and parts of southern Mexico.
-
E.
Ma-Ma
Ma-Ma is the ruthless, scarred gang leader and primary antagonist in the 2012 science fiction action film "Dredd."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de1db9481909ddf70eb81cdb714 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba9e1108190b74984d9da9baebe |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.