Triple
T34122052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Palmieri |
E875165
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Azúcar Pa’ Ti
Azúcar Pa’ Ti is a landmark Latin jazz and salsa album by pianist and bandleader Eddie Palmieri, celebrated for its innovative arrangements and enduring influence on Afro-Caribbean music.
|
E2082699
|
NE 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: Azúcar Pa’ Ti | Statement: [Eddie Palmieri, notableWork, Azúcar Pa’ Ti]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Azúcar Pa’ Ti Triple: [Eddie Palmieri, notableWork, Azúcar Pa’ Ti]
Generated description
Azúcar Pa’ Ti is a landmark Latin jazz and salsa album by pianist and bandleader Eddie Palmieri, celebrated for its innovative arrangements and enduring influence on Afro-Caribbean music.
Provenance (5 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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70f41b2f081909f58d8a58efc78de |
completed | May 3, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36b773efd48190b18b22bfe8e8875a |
completed | June 20, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_6a36ba19ac8881908c01a859bc5ef830 |
completed | June 20, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36ba92ef688190b5a87fab20d8197d |
completed | June 20, 2026, 4:06 p.m. |
Created at: May 1, 2026, 1:53 a.m.