Triple
T24912491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selfmachine |
E623883
|
entity |
| Predicate | hasArtistCurrentName |
P160826
|
FINISHED |
| Object | Eliot Sumner |
—
|
NE NERFINISHED |
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: Eliot Sumner | Statement: [Selfmachine, hasArtistCurrentName, Eliot Sumner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtistCurrentName Context triple: [Selfmachine, hasArtistCurrentName, Eliot Sumner]
-
A.
hasFormerStageNameOfArtist
Indicates that one name is a former stage name previously used by an artist.
-
B.
hasArtistLegalName
Indicates that an artist entity is associated with a specific legal (real) name used for official or formal purposes.
-
C.
hasRecordingArtistStageName
Indicates that a recording artist is known or performs under a particular stage name.
-
D.
featuredArtistFormerName
Indicates that the featured artist on a work was previously known by a different name, specifying that former name.
-
E.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f606c15af88190958856a9e467b826 |
completed | May 2, 2026, 2:14 p.m. |
Created at: April 18, 2026, 5:28 a.m.