Triple
T34376833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qedemah |
E882307
|
entity |
| Predicate | narrativeDetailLevel |
P79666
|
FINISHED |
| Object | minor figure with no extended narrative |
—
|
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: minor figure with no extended narrative | Statement: [Qedemah, narrativeDetailLevel, minor figure with no extended narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeDetailLevel Context triple: [Qedemah, narrativeDetailLevel, minor figure with no extended narrative]
-
A.
narrativeLength
Indicates the length or extent of a narrative, such as its duration, word count, or overall size.
-
B.
narrativeDescription
Indicates that one entity provides a textual or spoken account describing the events, context, or details related to another entity.
-
C.
narrativeCharacteristic
chosen
Indicates that one entity serves as a descriptive or defining narrative feature or quality of another entity.
-
D.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
E.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 1, 2026, 1:59 a.m.