Triple
T13072972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travie McCoy |
E329499
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Travie McCoy |
E329499
|
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: Travie McCoy | Statement: [Travie McCoy, stageName, Travie McCoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travie McCoy Context triple: [Travie McCoy, stageName, Travie McCoy]
-
A.
Travie McCoy
chosen
Travie McCoy is an American rapper, singer, and songwriter best known as the frontman of Gym Class Heroes and for his solo hit "Billionaire."
-
B.
Obie Trice
Obie Trice is an American rapper from Detroit known for his work with Shady Records and his appearance on the soundtrack of the film "8 Mile."
-
C.
Trey Songz
Trey Songz is an American R&B singer, songwriter, and occasional actor known for his smooth vocals and sensual, contemporary R&B hits.
-
D.
Flo Rida
Flo Rida is an American rapper and singer known for his catchy, club-oriented hip hop and pop hits such as "Low" and "Right Round."
-
E.
Tay Keith
Tay Keith is an American record producer and songwriter best known for crafting hard-hitting trap beats for artists like Drake, Travis Scott, and Lil Baby.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716baf00881909a1a11d36cdb8d42 |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 9 p.m.