Triple
T22052856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take a Daytrip |
E544926
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Lil Tecca |
—
|
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: Lil Tecca | Statement: [Take a Daytrip, associatedAct, Lil Tecca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Tecca Context triple: [Take a Daytrip, associatedAct, Lil Tecca]
-
A.
Lil Tecca
chosen
Lil Tecca is an American rapper, singer, and songwriter best known for his breakout hit "Ransom" and his melodic, trap-influenced style.
-
B.
Lil Tjay
Lil Tjay is an American rapper, singer, and songwriter from the Bronx known for his melodic drill-influenced style and hits like "F.N" and "Calling My Phone."
-
C.
Lil Keed
Lil Keed was an American rapper and singer from Atlanta known for his melodic trap style and affiliation with Young Thug’s YSL Records.
-
D.
Lil Gotit
Lil Gotit is an American rapper from Atlanta known for his melodic trap style and affiliation with the city's emerging hip-hop scene.
-
E.
Lil Mosey
Lil Mosey is an American rapper and singer known for melodic trap hits like "Noticed" and "Blueberry Faygo."
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12855c7708190a8de44837140b654 |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.