Triple
T14178189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beerbongs & Bentleys |
E351384
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Takin’ Shots |
E340552
|
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: Takin’ Shots | Statement: [Beerbongs & Bentleys, hasPart, Takin’ Shots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takin’ Shots Context triple: [Beerbongs & Bentleys, hasPart, Takin’ Shots]
-
A.
Takin’ Shots
chosen
"Takin’ Shots" is a track by American rapper and singer Post Malone from his hit 2018 studio album "Beerbongs & Bentleys."
-
B.
Shoot Your Shot
"Shoot Your Shot" is a funk and soul track by James Brown, featured on his influential 1973 album *The Payback*.
-
C.
50 Shots
50 Shots is a track by the hip-hop duo The Meth Lab, known for its gritty, street-influenced style and hard-hitting lyrical content.
-
D.
I’m Shooting High
"I’m Shooting High" is a popular song with lyrics by American songwriter Ted Koehler, known from the Great American Songbook era.
-
E.
16 Shots
"16 Shots" is a politically charged protest song by rapper Vic Mensa that condemns police brutality and specifically addresses the 2014 police shooting of Laquan McDonald in Chicago.
- 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_69fcf80f03a48190a5374fb6374255a8 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:02 a.m.