Triple
T7950234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Need Love |
E184594
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Go Cut Creator Go |
E704945
|
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: Go Cut Creator Go | Statement: [I Need Love, followedBy, Go Cut Creator Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go Cut Creator Go Context triple: [I Need Love, followedBy, Go Cut Creator Go]
-
A.
Go Cut Creator Go
chosen
"Go Cut Creator Go" is a hip-hop track by LL Cool J, showcasing DJ scratching and turntablism, featured on his 1989 album "Bigger and Deffer."
-
B.
Cutcut
Cutcut is a barangay (village-level administrative division) located in Angeles City in the province of Pampanga, Philippines.
-
C.
VisualAge Generator
VisualAge Generator is an IBM development tool used to rapidly create and maintain business applications, particularly for mainframe and enterprise environments, as part of the broader VisualAge family.
-
D.
CREA
CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
-
E.
Clipchamp
Clipchamp is a browser-based video editing and creation platform, now owned by Microsoft and integrated into Windows as a modern replacement for legacy video editing tools.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2d09a4819097aa49e29a5426ec |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5657baf48190a84026dfb347a5ad |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:10 p.m.