Triple
T21722638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Take a Look at Me Now" |
E536197
|
entity |
| Predicate | repeatsInSong |
P145094
|
FINISHED |
| Object | multiple times |
—
|
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: multiple times | Statement: ["Take a Look at Me Now", repeatsInSong, multiple times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repeatsInSong Context triple: ["Take a Look at Me Now", repeatsInSong, multiple times]
-
A.
containsRefrainAlsoFoundIn
Indicates that one entity includes a refrain that is also present in another entity.
-
B.
refrainCount
Indicates the number of times a particular refrain or repeated segment occurs within a larger sequence or structure.
-
C.
hasChorusRepetition
Indicates that a musical work includes a chorus section that is repeated one or more times.
-
D.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
E.
recurringLyric
Indicates that a particular lyric or line reappears multiple times within a song or musical piece.
- F. None of above. chosen
Provenance (4 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:47 p.m.