Triple
T16789748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madvillain |
E408074
|
entity |
| Predicate | influencedArtist |
P13951
|
FINISHED |
| Object | Open Mike Eagle |
E1057617
|
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: Open Mike Eagle | Statement: [Madvillain, influencedArtist, Open Mike Eagle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Open Mike Eagle Context triple: [Madvillain, influencedArtist, Open Mike Eagle]
-
A.
Open Mike Eagle
chosen
Open Mike Eagle is an American alternative hip hop artist and comedian known for his introspective, witty lyrics and involvement in the underground rap scene.
-
B.
Only One Mike
Only One Mike is a stand-up comedy special by American comedian Mike Epps, showcasing his observational humor and storytelling style.
-
C.
Big Mike
Big Mike is an American rapper best known for his work with the Houston hip hop group Geto Boys and his contributions to Southern rap in the 1990s.
-
D.
Toxic & Tight Mike
Toxic & Tight Mike is a music producer known for working on the track "The Day After."
-
E.
Spider Mike
Spider Mike is a key supporting character in the 1978 action film "Convoy," portrayed as a loyal trucker and close ally of the protagonist in their rebellious cross-country journey.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a50e18819090a30e1f38e520e0 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab09932c8190ba16a349c4938c16 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.