Triple
T23411126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Truth |
E560068
|
entity |
| Predicate | containsTrack |
P3284
|
FINISHED |
| Object | Raw & Uncut |
E1584893
|
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: Raw & Uncut | Statement: [The Truth, containsTrack, Raw & Uncut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raw & Uncut Context triple: [The Truth, containsTrack, Raw & Uncut]
-
A.
Raw & Uncut
chosen
Raw & Uncut is a candid, unfiltered segment or edition of “The Truth” that presents material in its most direct and unedited form.
-
B.
Raw Uncut
Raw Uncut is a music producer known for working with the hip-hop artist Exit 13.
-
C.
Uncut Raw
Uncut Raw is a track by rapper AZ featured on his debut studio album "Doe or Die."
-
D.
Unvarnished
Unvarnished is a 2013 studio album by American rock band Joan Jett & the Blackhearts that reflects Jett’s mature, hard-rock sound and themes of resilience.
-
E.
Unfiltered
Unfiltered was a progressive political talk show on Air America Radio co-hosted by comedian Lizz Winstead, public radio host Rachel Maddow, and hip-hop artist Chuck D.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a51183bc8190bd4860607b26b4b2 |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8243ada081908ff5312f06b3a465 |
completed | May 19, 2026, 3:31 p.m. |
Created at: April 17, 2026, 5:38 p.m.