Triple
T8429718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honky Château |
E199087
|
entity |
| Predicate | firstEltonJohnUSNumberOneAlbum |
P83299
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Honky Château, firstEltonJohnUSNumberOneAlbum, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEltonJohnUSNumberOneAlbum Context triple: [Honky Château, firstEltonJohnUSNumberOneAlbum, true]
-
A.
ElvisPresleyVersionAlbum
Indicates that an album is a version or edition associated with Elvis Presley’s recordings or releases.
-
B.
hasBillboardHot100NumberOneSingle
Indicates that an artist, group, or entity has achieved at least one single that reached the number one position on the Billboard Hot 100 chart.
-
C.
isFirstUKNumberOneSingleFor
Indicates that a particular song is the first UK number-one single achieved by a given artist or group.
-
D.
achievedNumberOneAlbumCountForArtist
Indicates the number of times an artist has achieved a number-one album (e.g., on a specified music chart).
-
E.
firstNumberOneSingleForArtistInUK
Indicates that the artist has exactly one single that reached number one on the charts in the UK.
- F. None of above. chosen
Provenance (4 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:07 p.m.