Triple
T1212359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Engelhardt |
E26028
|
entity |
| Predicate | mediumOfExpression |
P4793
|
FINISHED |
| Object | online articles |
—
|
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: online articles | Statement: [Tom Engelhardt, mediumOfExpression, online articles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfExpression Context triple: [Tom Engelhardt, mediumOfExpression, online articles]
-
A.
commonMedium
Indicates that two or more entities share the same medium or channel through which interaction, communication, or transmission occurs.
-
B.
artisticMedium
Indicates the material or technique used to create an artwork or artistic expression.
-
C.
usedMedium
chosen
Indicates that an action or communication was carried out through a particular medium or channel.
-
D.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
E.
primaryMedium
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde6cb608190b77fc5c47083e4b7 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.