Triple
T11996140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Seaver |
E285533
|
entity |
| Predicate | originalBroadcastMedium |
P10859
|
FINISHED |
| Object | network 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: network television | Statement: [Mike Seaver, originalBroadcastMedium, network television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBroadcastMedium Context triple: [Mike Seaver, originalBroadcastMedium, network television]
-
A.
primaryBroadcastMedium
chosen
Indicates the main communication channel or platform through which something (such as content, information, or a message) is originally transmitted or distributed.
-
B.
originallyBroadcastIn
Indicates that a broadcast (such as a TV or radio program) was first aired in a particular country, region, or market.
-
C.
originallyBroadcastAs
Indicates that one media work was first transmitted or aired under a particular title or version.
-
D.
canonicalMedium
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
-
E.
hasOriginalBroadcastStation
Indicates the broadcasting station or network on which a program or content was first originally aired.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b211688190bfe6dd15c3f96d2f |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.