Triple
T16729910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quality Control |
E406559
|
entity |
| Predicate | hasManagementClient |
P81666
|
FINISHED |
| Object | City Girls |
E716333
|
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: City Girls | Statement: [Quality Control, hasManagementClient, City Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Girls Context triple: [Quality Control, hasManagementClient, City Girls]
-
A.
City Girls
chosen
City Girls are an American hip hop duo from Miami known for their unapologetic, sexually confident lyrics and energetic club anthems.
-
B.
City Boys
"City Boys" is a popular Afrobeats song by Nigerian artist Burna Boy, known for its energetic production and confident, hedonistic lyrics.
-
C.
Ghetto Girls
Ghetto Girls is a track from DMX’s debut album "It’s Dark and Hell Is Hot," known for its gritty lyrics and depiction of street life.
-
D.
Beautiful Girls
Beautiful Girls is a 1996 ensemble romantic dramedy film about a group of small-town friends reuniting for a high school reunion and confronting their stalled lives and relationships.
-
E.
Beautiful Girls
"Beautiful Girls" is a 2007 reggae-influenced pop song by Sean Kingston that became a worldwide hit known for its catchy melody and doo-wop-inspired hook.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3874ad5b481908199e4d99ac4225e |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a519a89081909456bb6fc25d9234 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:20 a.m.