Triple
T18094030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keep Me in Your Heart |
E433037
|
entity |
| Predicate | hasCoverVersionBy |
P11142
|
FINISHED |
| Object | Jorge Calderón |
—
|
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: Jorge Calderón | Statement: [Keep Me in Your Heart, hasCoverVersionBy, Jorge Calderón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jorge Calderón Context triple: [Keep Me in Your Heart, hasCoverVersionBy, Jorge Calderón]
-
A.
Jorge Calderón
chosen
Jorge Calderón is a songwriter and musician best known for his longtime collaboration with Warren Zevon, co-writing several of Zevon’s notable songs.
-
B.
Reynaldo Pacheco
Reynaldo Pacheco is a Bolivian-born actor known for his roles in films such as the political comedy-drama "Our Brand Is Crisis" (2015).
-
C.
Jorge Robledo
Jorge Robledo was a 16th-century Spanish conquistador known for exploring and founding several settlements in what is now Colombia.
-
D.
Reynaldo Villalobos
Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
-
E.
Luis Salmerón
Luis Salmerón is a former Argentine professional footballer known for his role as a forward with several clubs in South America.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1a75048190924ebc01da83851b |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.