Triple
T8072553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Cooper |
E188408
|
entity |
| Predicate | primaryMediumOfAppearance |
P5765
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [Julie Cooper, primaryMediumOfAppearance, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMediumOfAppearance Context triple: [Julie Cooper, primaryMediumOfAppearance, television]
-
A.
primaryMedium
chosen
Indicates the main material, format, or channel through which something is created, expressed, or communicated.
-
B.
primaryBroadcastMedium
Indicates the main communication channel or platform through which something (such as content, information, or a message) is originally transmitted or distributed.
-
C.
secondaryMedium
Indicates that an entity is associated with an additional, non-primary medium or channel through which it is expressed, delivered, or communicated.
-
D.
firstAppearanceMedium
Indicates the medium (such as book, film, or game) in which an entity first appeared.
-
E.
targetMedium
Indicates the medium or channel through which an action, message, or effect is directed or intended to be delivered.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40482200819086c639f64c01fbb5 |
completed | March 31, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:27 p.m.