Triple
T31168032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Finn |
E794526
|
entity |
| Predicate | soloAlbum |
P37317
|
FINISHED |
| Object |
Try Whistling This
Try Whistling This is the 1998 debut solo album by New Zealand singer-songwriter Neil Finn, blending melodic pop and introspective rock.
|
E1949282
|
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: Try Whistling This | Statement: [Neil Finn, soloAlbum, Try Whistling This]
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: Try Whistling This Triple: [Neil Finn, soloAlbum, Try Whistling This]
Generated description
Try Whistling This is the 1998 debut solo album by New Zealand singer-songwriter Neil Finn, blending melodic pop and introspective rock.
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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f698534b488190a3bc36a1514fd95a |
completed | May 3, 2026, 12:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a294732938c81908eb4e32da8190b0c |
completed | June 10, 2026, 11:14 a.m. |
| NEDg | Description generation | batch_6a294806b68c8190986962f5fa3711cf |
completed | June 10, 2026, 11:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2948bb63e4819083a1e9d149cddac6 |
completed | June 10, 2026, 11:21 a.m. |
Created at: April 29, 2026, 9:07 p.m.