Triple
T30340330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Souvenirs |
E771729
|
entity |
| Predicate | featuresMusician |
P20942
|
FINISHED |
| Object |
René Rutten
René Rutten is a Dutch guitarist best known as a founding member of the alternative rock band The Gathering.
|
E1909302
|
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: René Rutten | Statement: [Souvenirs, featuresMusician, René Rutten]
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: René Rutten Triple: [Souvenirs, featuresMusician, René Rutten]
Generated description
René Rutten is a Dutch guitarist best known as a founding member of the alternative rock band The Gathering.
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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68202f0fc8190b6ad7101515ae10f |
completed | May 2, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a277c23a8108190aee266da48a76b0a |
completed | June 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_6a277cc044648190aac2bc5da147e485 |
completed | June 9, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a277d44cc208190aa60636c8df63242 |
completed | June 9, 2026, 2:41 a.m. |
Created at: April 29, 2026, 7:55 p.m.