Triple
T3563398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Last Meal |
E75388
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lay Low (Remix) |
E369162
|
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: Lay Low (Remix) | Statement: [Tha Last Meal, hasPart, Lay Low (Remix)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lay Low (Remix) Context triple: [Tha Last Meal, hasPart, Lay Low (Remix)]
-
A.
Lay Low
chosen
"Lay Low" is a popular West Coast hip hop track by Snoop Dogg featuring Nate Dogg, Master P, and others, known for its smooth G-funk production and laid-back gangsta rap vibe.
-
B.
L.O.V.E. (Remix)
"L.O.V.E. (Remix)" is a reworked version of the song "L.O.V.E." featured on the album "Elevation."
-
C.
How Low
"How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
-
D.
Lay Lady Lay
"Lay Lady Lay" is a 1969 country-influenced love song by Bob Dylan, notable for his distinctive deep vocal delivery and prominent use of pedal steel guitar.
-
E.
Love To Lay
"Love To Lay" is a synth-driven R&B/pop track by The Weeknd from his 2016 album *Starboy*, known for its sleek production and themes of desire and emotional detachment.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a60e6c8190a3c3ddae5b6ded54 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402e8628c81909913974602782b7a |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:21 p.m.