Triple
T27325013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathryn Kluge |
E689617
|
entity |
| Predicate | hasCollaborativeCareerWith |
P198482
|
FINISHED |
| Object | Kim Allen Kluge |
—
|
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: Kim Allen Kluge | Statement: [Kathryn Kluge, hasCollaborativeCareerWith, Kim Allen Kluge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollaborativeCareerWith Context triple: [Kathryn Kluge, hasCollaborativeCareerWith, Kim Allen Kluge]
-
A.
hasCollaboratedIn
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
B.
frequentlyCollaboratedWith
Indicates that two entities have worked together on shared activities or projects on a recurring or regular basis.
-
C.
partOfCreativeCareerOf
Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
-
D.
musicalCollaborator
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
E.
worksWithArtist
Indicates that one entity collaborates or engages in professional work with an 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_69ef355d4cb08190ab032c0a2e7d3753 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69feecf1bb248190ba30f0bb1d22ee08 |
completed | May 9, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69feea5f27748190b223ee4e3ba5a678 |
completed | May 9, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69feecf102e08190b237c29e45beeca0 |
completed | May 9, 2026, 8:14 a.m. |
Created at: April 27, 2026, 11:35 a.m.