Triple
T47534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is My Story |
E933
|
entity |
| Predicate | literaryForm |
P130
|
FINISHED |
| Object | prose |
—
|
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: prose | Statement: [This Is My Story, literaryForm, prose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryForm Context triple: [This Is My Story, literaryForm, prose]
-
A.
literaryMovement
Indicates the artistic or intellectual movement in literature with which a work, author, or text is associated or to which it belongs.
-
B.
writtenForm
Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
-
C.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
E.
legalForm
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c1a5c14819088748317a3f262c8 |
completed | Feb. 28, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69a24abe7cb481908d969e54032f6c75 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.