Triple
T10874240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonesome, On'ry and Mean |
E256733
|
entity |
| Predicate | followsInDiscography |
P25312
|
FINISHED |
| Object | Ladies Love Outlaws |
E890159
|
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: Ladies Love Outlaws | Statement: [Lonesome, On'ry and Mean, followsInDiscography, Ladies Love Outlaws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ladies Love Outlaws Context triple: [Lonesome, On'ry and Mean, followsInDiscography, Ladies Love Outlaws]
-
A.
Ladies Love Outlaws
chosen
"Ladies Love Outlaws" is a country song closely associated with Waylon Jennings and the 1970s outlaw country movement.
-
B.
So You Wannabe an Outlaw
So You Wannabe an Outlaw is a country music album by American singer-songwriter Steve Earle that pays homage to the outlaw country tradition.
-
C.
Outlaws
Outlaws is an American Southern rock band best known for its twin-guitar harmonies and hits like "Green Grass & High Tides."
-
D.
Outlaws
"Outlaws" is a song by the American punk rock band Green Day from their 2016 album *Revolution Radio*.
-
E.
Outlaws and Angels
Outlaws and Angels is a 2016 American Western thriller film known for its brutal, character-driven home-invasion story set in the Old West.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751891b508190959784f212e06acb |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154d8f9b881908025acc6ff1beb9f |
completed | April 16, 2026, 9:30 p.m. |
Created at: April 8, 2026, 9:21 p.m.