Triple
T2798433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire!! (magazine) |
E53092
|
entity |
| Predicate | targetedForm |
P26269
|
FINISHED |
| Object | short stories |
—
|
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: short stories | Statement: [Fire!! (magazine), targetedForm, short stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetedForm Context triple: [Fire!! (magazine), targetedForm, short stories]
-
A.
formTreatment
Indicates that one entity creates, establishes, or defines a particular treatment or therapeutic regimen for another entity.
-
B.
typicalForm
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
-
C.
helpedForm
Indicates that one entity contributed significantly to the creation, establishment, or founding of another entity.
-
D.
formsFrom
Indicates that one entity is created, derived, or takes shape as a result of another entity.
-
E.
usesForm
chosen
Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf204148190a53f3f30d645d94c |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.