Triple
T28472069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Priester |
E720464
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Hints on Light and Shadow
Hints on Light and Shadow is a jazz album by trombonist and composer Julian Priester, noted for its exploratory, atmospheric approach to modern jazz.
|
E1818902
|
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: Hints on Light and Shadow | Statement: [Julian Priester, notableWork, Hints on Light and Shadow]
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: Hints on Light and Shadow Triple: [Julian Priester, notableWork, Hints on Light and Shadow]
Generated description
Hints on Light and Shadow is a jazz album by trombonist and composer Julian Priester, noted for its exploratory, atmospheric approach to modern jazz.
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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64ee2913c8190b0c8ff619b17621b |
completed | May 2, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a164198af4c8190a702712ae202b18e |
completed | May 27, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_6a16426a75c48190b5637f503a143bea |
completed | May 27, 2026, 1:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1643096a5c8190bd430174a11ce511 |
completed | May 27, 2026, 1:04 a.m. |
Created at: April 28, 2026, 2:49 a.m.