Triple
T33067317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Perdón |
E846135
|
entity |
| Predicate | hasChorusFocusedOnForgiveness |
P196294
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [El Perdón, hasChorusFocusedOnForgiveness, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChorusFocusedOnForgiveness Context triple: [El Perdón, hasChorusFocusedOnForgiveness, true]
-
A.
hasChorus
Indicates that something (typically a song or musical piece) includes a chorus section as part of its structure.
-
B.
believesHeIsForgivenFor
Indicates that one entity holds the conviction that he has been forgiven by another entity for some wrongdoing or offense.
-
C.
hasChorusIn
Indicates that a musical work includes a chorus section within the specified part or segment.
-
D.
containsChorusOf
Indicates that one entity (typically a musical work or section) includes within it a chorus performed by another entity (such as a group of singers or ensemble).
-
E.
usesChorusBetweenStanzas
Indicates that a recurring chorus section is inserted between successive stanzas of a piece (such as a song or poem).
- 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
| PDg | Predicate description generation | batch_69fe1fd58ad8819093d3d705e8521014 |
completed | May 8, 2026, 5:39 p.m. |
Created at: May 1, 2026, 1:25 a.m.