Triple
T10491639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hello Walls |
E247433
|
entity |
| Predicate | madeWillieNelsonFamousAs |
P89591
|
FINISHED |
| Object | songwriter |
—
|
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: songwriter | Statement: [Hello Walls, madeWillieNelsonFamousAs, songwriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeWillieNelsonFamousAs Context triple: [Hello Walls, madeWillieNelsonFamousAs, songwriter]
-
A.
WillieNelsonVersionReleaseYear
Indicates the year in which a particular version of a work associated with Willie Nelson was released.
-
B.
WillieNelsonVersionAlbum
Indicates that an album is a version, edition, or release associated with Willie Nelson.
-
C.
songMadeFamousBy
Indicates that a song became widely known or popular primarily through the performance, recording, or promotion of a particular artist or group.
-
D.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
E.
notableSongwriterOn
chosen
Indicates that one entity is recognized as a notable songwriter contributing to or associated with another entity (such as a musical work or recording).
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097e1c888190bc8e039f2e46181e |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:24 p.m.