Triple
T36499667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashley Gorley |
E899287
|
entity |
| Predicate | hasWrittenNumberOneSingles |
P100382
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ashley Gorley, hasWrittenNumberOneSingles, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWrittenNumberOneSingles Context triple: [Ashley Gorley, hasWrittenNumberOneSingles, yes]
-
A.
hasBillboardNumberOneSingles
Indicates that the subject has achieved one or more singles that reached number one on the Billboard music charts.
-
B.
hasWrittenNumberOneHit
chosen
Indicates that an entity has created or authored a work (such as a song or piece of music) that has reached the number one position on an official chart or ranking.
-
C.
numberOfUSNumberOneSingles
Indicates the count of times an entity has achieved a number-one single on the official United States music charts.
-
D.
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.
-
E.
wroteHitSingles
Indicates that the subject created and released one or more songs that achieved significant commercial success as singles.
- F. None of above.
Provenance (3 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_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.