Triple
T29758865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delloreese Patricia Early |
E753105
|
entity |
| Predicate | stage name |
P7872
|
FINISHED |
| Object | Della Reese |
—
|
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: Della Reese | Statement: [Delloreese Patricia Early, stage name, Della Reese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stage name Context triple: [Delloreese Patricia Early, stage name, Della Reese]
-
A.
stageName
chosen
Indicates that one entity is the performance or professional name used by another entity.
-
B.
stage
Indicates that an entity organizes, presents, or performs another entity (such as an event, show, or action) as a staged occurrence.
-
C.
portrayedByStageName
Indicates that an entity is depicted or represented by a performer identified specifically by their stage name.
-
D.
stageNameDerivedFrom
Indicates that an entity’s stage name is derived from, based on, or taken from another specified name or source.
-
E.
stageNameDuringRelease
Indicates the stage name an entity used specifically during the time of a particular release.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 7:58 p.m.