Triple
T21846323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Girl Meg |
E539382
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Latto |
—
|
NE NERFINISHED |
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: Latto | Statement: [Hot Girl Meg, associatedAct, Latto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latto Context triple: [Hot Girl Meg, associatedAct, Latto]
-
A.
Latto
chosen
Latto is an American rapper and songwriter known for her confident Southern style and breakout hits like "Big Energy."
-
B.
Saweetie
Saweetie is an American rapper and songwriter known for her catchy, confident hip-hop tracks like "ICY GRL" and "My Type."
-
C.
Lizzo
Lizzo is an American singer, rapper, flutist, and songwriter known for her energetic performances, body positivity, and hits like "Truth Hurts" and "Good as Hell."
-
D.
Doja Cat
Doja Cat is an American rapper, singer, songwriter, and producer known for her genre-blending pop and hip-hop hits, viral online presence, and visually inventive music videos.
-
E.
Cardi B
Cardi B is an American rapper, songwriter, and media personality known for her chart-topping hits, outspoken persona, and significant impact on contemporary hip hop.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd546fb48190a7b815233650c2e7 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.