Triple
T19140001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinners Like Me |
E468530
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Guys Like 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: Guys Like Me | Statement: [Sinners Like Me, hasSingle, Guys Like Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guys Like Me Context triple: [Sinners Like Me, hasSingle, Guys Like Me]
-
A.
Guys Like Me
chosen
"Guys Like Me" is a country song by American singer-songwriter Eric Church, known for its gritty, blue-collar perspective and storytelling style.
-
B.
Guy Like Me
"Guy Like Me" is a song by the American rock band Legend.
-
C.
Girls Like Me
Girls Like Me is a 1986 country music album by Tanya Tucker that helped solidify her comeback in the mid-1980s with several successful singles.
-
D.
Just Like Me
"Just Like Me" is a song featured on the album "My Way," likely reflecting themes of personal identity and self-expression.
-
E.
I Like Men
"I Like Men" is a musical number featured in the 1953 MGM aquatic musical film "Dangerous When Wet," performed by star Esther Williams.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3f094f88190996279d7b548edea |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.