Triple
T36920243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norbridge |
E913171
|
entity |
| Predicate | workOriginalBroadcaster |
P93607
|
FINISHED |
| Object | Children's ITV |
—
|
NE NERFINISHED |
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: Children's ITV | Statement: [Norbridge, workOriginalBroadcaster, Children's ITV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workOriginalBroadcaster Context triple: [Norbridge, workOriginalBroadcaster, Children's ITV]
-
A.
hasOriginalBroadcastStation
chosen
Indicates the broadcasting station or network on which a program or content was first originally aired.
-
B.
primaryBroadcaster
Indicates that one entity serves as the main or principal broadcaster for another entity (such as an event, program, or channel).
-
C.
broadcasterType
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
-
D.
originallyBroadcastLive
Indicates that the content was transmitted to audiences in real time at the time of its first broadcast, rather than being pre-recorded.
-
E.
broadcasterNationality
Indicates the country or national affiliation associated with a broadcaster.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdcb96c8819084bd2a37cd383685 |
completed | May 5, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.