Triple
T28904313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hate Week |
E733032
|
entity |
| Predicate | mediumOfSourceWork |
P99077
|
FINISHED |
| Object | novel |
—
|
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: novel | Statement: [Hate Week, mediumOfSourceWork, novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfSourceWork Context triple: [Hate Week, mediumOfSourceWork, novel]
-
A.
mediumOfWorkAppearsIn
chosen
Indicates that a particular medium or format is the form in which a work is presented or appears.
-
B.
mediumOfRecord
Indicates the primary medium or format through which an event, work, or information is officially documented or recorded.
-
C.
mediumOfAcademicWork
Indicates that a particular medium or format is the channel through which an academic work is expressed, recorded, or communicated.
-
D.
mediumOfProduction
Indicates the method, material, or technology used to create or produce something.
-
E.
subjectMedium
Indicates the medium or channel through which the subject is expressed, communicated, or realized.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:05 a.m.