Triple
T17460846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Had Enough |
E425146
|
entity |
| Predicate | featuresRapper |
P20942
|
FINISHED |
| Object | Offset |
—
|
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: Offset | Statement: [Had Enough, featuresRapper, Offset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Offset Context triple: [Had Enough, featuresRapper, Offset]
-
A.
Offset
chosen
Offset is an American rapper best known as a member of the hip-hop trio Migos and for his solo work and collaborations in contemporary trap music.
-
B.
Pos
Pos is the stage name of Posdnuos, an American rapper best known as a member of the influential hip hop group De La Soul.
-
C.
Shift
Shift is an American rock band best known for featuring drummer Samantha Maloney among its members.
-
D.
Align
Align is a probiotic supplement brand from Procter & Gamble known for supporting digestive and gut health.
-
E.
Alignment
Alignment was a major center-left political alliance in Israel that played a dominant role in the country’s politics during the 1960s–1980s, primarily led by the Labor Party.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.