Triple
T30349310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TBS |
E771947
|
entity |
| Predicate | foundedAsBroadcaster |
P193718
|
FINISHED |
| Object | 1951 |
—
|
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: 1951 | Statement: [TBS, foundedAsBroadcaster, 1951]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsBroadcaster Context triple: [TBS, foundedAsBroadcaster, 1951]
-
A.
broadcasterType
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
-
B.
hasBroadcaster
Indicates that an entity is associated with or transmitted by a particular broadcaster or broadcasting organization.
-
C.
broadcasterNationality
Indicates the country or national affiliation associated with a broadcaster.
-
D.
foundedAsTelevisionStation
Indicates that an entity was originally established or created as a television broadcasting station.
-
E.
broadcasterFormerUS
Indicates that the subject is a broadcaster who formerly operated in or was formerly associated with the United States.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: April 29, 2026, 7:56 p.m.