Triple
T5193500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chingy |
E117212
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Chingy |
E117212
|
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: Chingy | Statement: [Chingy, stageName, Chingy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chingy Context triple: [Chingy, stageName, Chingy]
-
A.
Chingy
chosen
Chingy is an American rapper and actor best known for his early-2000s hit singles like "Right Thurr" and his association with the Disturbing tha Peace label.
-
B.
Sticky Fingaz
Sticky Fingaz is an American rapper and actor best known as a member of the hardcore hip hop group Onyx and for his roles in film and television.
-
C.
Machine Gun Funk
"Machine Gun Funk" is a track by The Notorious B.I.G. from his landmark debut album "Ready to Die," showcasing his gritty storytelling and smooth, laid-back flow over a funk-influenced beat.
-
D.
Trippin’
Trippin’ is a song by the American R&B group Total, known for its smooth harmonies and late-1990s contemporary R&B sound.
-
E.
Namba Hips
Namba Hips is a distinctive commercial and entertainment complex in Osaka’s Namba district, known for its striking curved façade and shopping, dining, and leisure facilities.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79f142488190bc6c57b8ff7ef894 |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefbcbd1881908afc477150135961 |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:46 p.m.