Triple
T14178174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beerbongs & Bentleys |
E351384
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tank God |
E340561
|
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: Tank God | Statement: [Beerbongs & Bentleys, producer, Tank God]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tank God Context triple: [Beerbongs & Bentleys, producer, Tank God]
-
A.
Tank God
chosen
Tank God is a hip-hop and trap music producer best known for his work with Post Malone, including contributions to the album "Beerbongs & Bentleys."
-
B.
Tank
Tank is a London-based art and fashion magazine known for its independent, avant-garde editorial approach and collaborations with experimental cultural projects.
-
C.
Tank
Tank is a German aeronautical engineer best known for designing the Focke-Wulf Fw 190 fighter aircraft used by the Luftwaffe during World War II.
-
D.
Tank
Tank is an American R&B singer, songwriter, and producer known for his smooth vocals and hit slow jams like "Maybe I Deserve" and "Please Don't Go."
-
E.
Tanks a Million
Tanks a Million is a 1941 American military comedy film best known for starring William Tracy as the fast-talking, regulation-obsessed soldier Dorian "Dodo" Doubleday.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c90abc8190a9b9dc1f50db59fa |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd280656a881909c565b99e85ae9bd |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:02 a.m.