Triple
T12680210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Survivor from Warsaw |
E302924
|
entity |
| Predicate | textFeature |
P2003
|
FINISHED |
| Object | spoken narration |
—
|
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: spoken narration | Statement: [A Survivor from Warsaw, textFeature, spoken narration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textFeature Context triple: [A Survivor from Warsaw, textFeature, spoken narration]
-
A.
featuresText
chosen
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
-
B.
textType
Indicates the classification of a text according to its type, format, or genre.
-
C.
textCharacter
Indicates that one entity is a character (such as a letter, digit, or symbol) within a piece of text associated with another entity.
-
D.
textualFunction
Indicates a functional or structural role that a text segment serves within a larger document or discourse (e.g., title, caption, summary, instruction).
-
E.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b32dbc81908101fc5f07e26ed3 |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:21 p.m.