Triple
T36388798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bredda Nancy |
E896270
|
entity |
| Predicate | toldInForm |
P185425
|
FINISHED |
| Object | oral storytelling |
—
|
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: oral storytelling | Statement: [Bredda Nancy, toldInForm, oral storytelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toldInForm Context triple: [Bredda Nancy, toldInForm, oral storytelling]
-
A.
wroteInForm
Indicates that an entity created or authored something using a specific format, style, or structural form.
-
B.
writtenInForm
Indicates that something is expressed, recorded, or composed using a particular format, style, or structural form.
-
C.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
D.
typicalForm
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
-
E.
featuredInForm
Indicates that something is prominently included or highlighted within a particular form or form layout.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.