Triple
T29135988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flesh Without Blood |
E738512
|
entity |
| Predicate | stageNameOfAssociatedArtist |
P7872
|
FINISHED |
| Object | Grimes is the stage name of Claire Boucher |
—
|
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: Grimes is the stage name of Claire Boucher | Statement: [Flesh Without Blood, stageNameOfAssociatedArtist, Grimes is the stage name of Claire Boucher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageNameOfAssociatedArtist Context triple: [Flesh Without Blood, stageNameOfAssociatedArtist, Grimes is the stage name of Claire Boucher]
-
A.
associatedWithArtistStageName
Indicates that an entity has a relationship to, or is connected with, a particular artist’s stage name.
-
B.
stageName
chosen
Indicates that one entity is the performance or professional name used by another entity.
-
C.
hasRecordingArtistStageName
Indicates that a recording artist is known or performs under a particular stage name.
-
D.
stageNameOfWriter
Indicates that the specified stage name is the professional or pen name used by the given writer.
-
E.
stageAge
Indicates the age or developmental period associated with a particular stage in a process, lifecycle, or progression.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 11:34 a.m.