Triple
T23260410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poke Her Face |
E581987
|
entity |
| Predicate | hasFreestyleVersionBy |
P18107
|
FINISHED |
| Object | Mack Maine |
—
|
NE NERFINISHED |
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: Mack Maine | Statement: [Poke Her Face, hasFreestyleVersionBy, Mack Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mack Maine Context triple: [Poke Her Face, hasFreestyleVersionBy, Mack Maine]
-
A.
Mack Maine
chosen
Mack Maine is an American rapper and record executive best known as the president of Young Money Entertainment and a close collaborator of Lil Wayne.
-
B.
The Mack
The Mack is a 1973 blaxploitation crime film centered on a charismatic pimp navigating power struggles in Oakland’s criminal underworld.
-
C.
Mack
Mack is a music producer best known for his work on Queen’s song “It’s a Hard Life.”
-
D.
Mack
Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
-
E.
Mack Granite
The Mack Granite is a heavy-duty vocational truck series widely used in construction, dump, and municipal applications for its durability and rugged performance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9189c8190a13c17c635227f42 |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.