Triple
T14391783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psychology Today |
E356859
|
entity |
| Predicate | usesWritingStyle |
P89610
|
FINISHED |
| Object | non-technical |
—
|
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: non-technical | Statement: [Psychology Today, usesWritingStyle, non-technical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWritingStyle Context triple: [Psychology Today, usesWritingStyle, non-technical]
-
A.
writesInStyle
chosen
Indicates that an entity creates written work using a particular style or manner of writing.
-
B.
rhetoricalStyle
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
C.
usesNarrativeStyle
Indicates that one entity employs or adopts a particular narrative style in presenting or structuring content or information.
-
D.
authorStyle
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
E.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902b9acc8190817ffa848a76a880 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.