Triple
T20782473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight’s Used Records |
E511524
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Population Me |
—
|
NE NERFINISHED |
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: Population Me | Statement: [Dwight’s Used Records, performer, Population Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Population Me Context triple: [Dwight’s Used Records, performer, Population Me]
-
A.
Population Me
chosen
Population Me is a country music album by American singer-songwriter Dwight Yoakam, noted for its blend of traditional honky-tonk and contemporary influences.
-
B.
Population I
Population I stars are relatively young, metal-rich stars typically found in the disks and spiral arms of galaxies.
-
C.
Among People
Among People is an alternative title for the film "In the World."
-
D.
The People
The People is a British Sunday tabloid newspaper known for its popular journalism, human-interest stories, and coverage of celebrity and sports news.
-
E.
The People
"The People" is a politically charged hip-hop track by Common that reflects on social issues, community struggles, and empowerment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28870e481909e7cbcdd6d4bc247 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.