Triple
T31258139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toomas Uibo |
E797037
|
entity |
| Predicate | mediaAppearanceRegion |
P177356
|
FINISHED |
| Object | Soviet Union 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: Soviet Union television | Statement: [Toomas Uibo, mediaAppearanceRegion, Soviet Union television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaAppearanceRegion Context triple: [Toomas Uibo, mediaAppearanceRegion, Soviet Union television]
-
A.
mediaAppearanceType
Indicates the specific kind or category of media appearance associated with an entity (e.g., interview, feature, cameo, or performance).
-
B.
mediaAppearanceTopic
Indicates that a media appearance (such as an interview, article, or broadcast) is about or focused on a particular topic.
-
C.
appearanceInImages
Indicates that an entity is visually present or depicted within one or more images.
-
D.
mediaProfile
Indicates a relationship where a media-related profile or account is associated with an entity, typically representing its presence or identity in media contexts.
-
E.
photographicAppearance
Indicates that one entity visually appears in a photograph or photographic representation of another entity.
- F. None of above. chosen
Provenance (4 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 29, 2026, 9:12 p.m.