Triple
T14541993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emergency Tsunami |
E341191
|
entity |
| Predicate | hasGuestAppearance |
P4920
|
FINISHED |
| Object | Lil Baby |
E89559
|
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: Lil Baby | Statement: [Emergency Tsunami, hasGuestAppearance, Lil Baby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Baby Context triple: [Emergency Tsunami, hasGuestAppearance, Lil Baby]
-
A.
Lil Baby
chosen
Lil Baby is an American rapper and songwriter known for his melodic flow, street-oriented lyrics, and prominence in contemporary trap music.
-
B.
DaBaby
DaBaby is an American rapper known for his energetic delivery, catchy flows, and hit songs like "Suge" and "Rockstar."
-
C.
Lil Bibby
Lil Bibby is a Chicago drill rapper and music executive known for his gritty street-focused lyrics and for helping launch the careers of artists like Juice WRLD through his label.
-
D.
Young Thug
Young Thug is an Atlanta-born rapper and singer known for his eccentric vocal style, experimental approach to trap music, and major influence on contemporary hip-hop.
-
E.
Lil Yachty
Lil Yachty is an American rapper, singer, and songwriter known for his melodic, playful style and breakout hits like “One Night” and “Minnesota.”
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1be5a8081909bf727e28a5bba4a |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb76fb58819088e5a0101143a401 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:22 a.m.