Triple
T22605997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana International |
E566557
|
entity |
| Predicate | stageNameUsedSince |
P7872
|
FINISHED |
| Object | early 1990s |
—
|
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: early 1990s | Statement: [Dana International, stageNameUsedSince, early 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageNameUsedSince Context triple: [Dana International, stageNameUsedSince, early 1990s]
-
A.
stageName
chosen
Indicates that one entity is the performance or professional name used by another entity.
-
B.
stageNameDuringRelease
Indicates the stage name an entity used specifically during the time of a particular release.
-
C.
stageNameDerivedFrom
Indicates that an entity’s stage name is derived from, based on, or taken from another specified name or source.
-
D.
stageAge
Indicates the age or developmental period associated with a particular stage in a process, lifecycle, or progression.
-
E.
stageNameOfWriter
Indicates that the specified stage name is the professional or pen name used by the given writer.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:54 p.m.