Triple
T15433565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Last Meal |
E369699
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lay Low |
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 | Statement: [Tha Last Meal, hasPart, Lay Low]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lay Low Context triple: [Tha Last Meal, hasPart, Lay Low]
-
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.
Down So Low
"Down So Low" is a soulful ballad best known from Linda Ronstadt’s 1976 album *Hasten Down the Wind*, originally written and recorded by singer-songwriter Tracy Nelson.
-
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 It Down
"Lay It Down" is a 1985 hard rock and glam metal song by the American band Ratt, known as one of their signature hits from the album "Invasion of Your Privacy."
-
E.
Lay It Down
"Lay It Down" is a country song recorded by Waylon Jennings, featured on his influential 1973 album "Lonesome, On'ry and Mean."
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a3d1f481908f6795656514b2b4 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.