Triple
T14363544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limbo |
E356163
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | OnePointFive |
E356162
|
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: OnePointFive | Statement: [Limbo, precededBy, OnePointFive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OnePointFive Context triple: [Limbo, precededBy, OnePointFive]
-
A.
ONEPOINTFIVE
chosen
ONEPOINTFIVE is a 2018 project by rapper Aminé that blends playful, offbeat humor with introspective lyrics over eclectic, bass-heavy production.
-
B.
TwoPointFive
TwoPointFive is a musical release that follows the project "Limbo," likely serving as its subsequent EP or album in the artist’s discography.
-
C.
One and One Make Five
"One and One Make Five" is a song by the German electronic music group Very.
-
D.
One Point O
One Point O is a 2004 cyberpunk science fiction film, co-directed by Jeff Renfroe, that explores paranoia and corporate control in a dystopian future.
-
E.
Base One
Base One is a Nigerian rapper known for his energetic Yoruba-infused hip-hop style and collaborations within the Afrobeats and street-rap scenes.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fabec088190bd8128371b29e958 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550ca6b88190b76cd486bdd66fdf |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:15 a.m.