Triple
T1628362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Video Killed the Radio Star |
E35197
|
entity |
| Predicate | positionInFirstMTVBroadcast |
P30371
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Video Killed the Radio Star, positionInFirstMTVBroadcast, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInFirstMTVBroadcast Context triple: [Video Killed the Radio Star, positionInFirstMTVBroadcast, 1]
-
A.
firstTelecastOn
Indicates the date or event on which something, typically a program or broadcast, was first shown on television.
-
B.
firstAiredOnChannel
Indicates the original broadcast channel on which a program or episode was first aired.
-
C.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
D.
originallyBroadcastIn
Indicates that a broadcast (such as a TV or radio program) was first aired in a particular country, region, or market.
-
E.
firstTelevisionBroadcast
Indicates that the subject is the entity responsible for the earliest or inaugural television broadcast of the object.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9431af5ac8190893133f1ae490142 |
completed | March 5, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69a907c91c888190b6ed295c1a2e0977 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a94319becc819089c2daf45fe08a0c |
completed | March 5, 2026, 8:47 a.m. |
Created at: March 4, 2026, 7:28 p.m.