Triple
T14191234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freekey Zekey |
E351717
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Freekey Zekey |
E351717
|
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: Freekey Zekey | Statement: [Freekey Zekey, alias, Freekey Zekey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freekey Zekey Context triple: [Freekey Zekey, alias, Freekey Zekey]
-
A.
Freekey Zekey
chosen
Freekey Zekey is an American rapper and member of the Harlem-based hip hop collective The Diplomats (Dipset), known for his energetic ad-libs and collaborations with fellow group members like Cam'ron and Juelz Santana.
-
B.
Keyes
Keyes is a small unincorporated community located in Stanislaus County in California’s Central Valley.
-
C.
Keyes
Keyes is the surname of American author Daniel Keyes, best known for writing the science fiction classic "Flowers for Algernon."
-
D.
Philkeyz
Philkeyz is a Nigerian music producer and songwriter known for crafting Afrobeat and contemporary African pop sounds for prominent artists.
-
E.
Leavey
Leavey is a surname most notably associated with Megan Leavey, a former U.S. Marine corporal known for her service as a military dog handler in Iraq.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d0a172c819096874f1bdd290cbb |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 10, 2026, 1:04 a.m.