Triple
T36504382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Waite |
E899420
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object |
Downtown: Journey of a Heart
"Downtown: Journey of a Heart" is a solo album by English singer John Waite that revisits and reinterprets some of his classic hits alongside new material.
|
E2186765
|
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: Downtown: Journey of a Heart | Statement: [John Waite, notableAlbum, Downtown: Journey of a Heart]
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: Downtown: Journey of a Heart Triple: [John Waite, notableAlbum, Downtown: Journey of a Heart]
Generated description
"Downtown: Journey of a Heart" is a solo album by English singer John Waite that revisits and reinterprets some of his classic hits alongside new material.
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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c1c5b3488190ad2d7cf18ab2fcc5 |
completed | May 3, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39dbd340848190aad6d59bf1ed8479 |
completed | June 23, 2026, 1:05 a.m. |
| NEDg | Description generation | batch_6a39dcbe1b9081908af6435635e8a84b |
completed | June 23, 2026, 1:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39ddddde6c8190a4f2dc0a66d85538 |
completed | June 23, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:10 p.m.