Triple
T36252702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friends in Low Places |
E891842
|
entity |
| Predicate | firstLineLyrics |
P197547
|
FINISHED |
| Object | Blame it all on my roots, I showed up in boots |
—
|
LITERAL 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: Blame it all on my roots, I showed up in boots | Statement: [Friends in Low Places, firstLineLyrics, Blame it all on my roots, I showed up in boots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineLyrics Context triple: [Friends in Low Places, firstLineLyrics, Blame it all on my roots, I showed up in boots]
-
A.
firstLineOfChorus
Indicates that one text segment is the first line in the chorus section of another text, typically a song.
-
B.
firstLines
chosen
Indicates that one text, segment, or element constitutes the initial lines or opening portion of another.
-
C.
firstVerseText
Indicates the textual content that appears in the first verse of something, such as a song, poem, or hymn.
-
D.
firstSong
Indicates that one song is the earliest or initial song in a specified sequence, collection, or context.
-
E.
firstLineAfrikaans
Indicates that the specified text is the first line of a piece of content when written in Afrikaans.
- F. None of above.
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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.