Triple
T9906178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Video Killed the Radio Star |
E185016
|
entity |
| Predicate | firstAiredOnMTVTime |
P91089
|
FINISHED |
| Object | 00:01 EDT |
—
|
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: 00:01 EDT | Statement: [Video Killed the Radio Star, firstAiredOnMTVTime, 00:01 EDT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAiredOnMTVTime Context triple: [Video Killed the Radio Star, firstAiredOnMTVTime, 00:01 EDT]
-
A.
firstAiredDuring
Indicates that one event or media item originally premiered or was first broadcast within the time period defined by another entity.
-
B.
firstAired
Indicates the date on which something (such as a show, episode, or broadcast content) was first aired or publicly transmitted.
-
C.
premieredOn
Indicates that an event, work, or production had its first public showing or debut on a specified date or at a specified time.
-
D.
firstAiredWith
Indicates that one entity was initially broadcast or released at the same time as another entity.
-
E.
firstAiredOnProgram
Indicates that an episode, show, or content item had its very first broadcast or premiere on a specified program.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:40 p.m.