Triple
T12356652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lover |
E294629
|
entity |
| Predicate | firstBroadcastMedium |
P10859
|
FINISHED |
| Object | 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: television | Statement: [The Lover, firstBroadcastMedium, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBroadcastMedium Context triple: [The Lover, firstBroadcastMedium, 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.
firstBroadcast
Indicates the date or event of the initial public transmission or airing of a program, signal, or content.
-
C.
firstBroadcastBy
Indicates that one entity is the original broadcaster or channel that first aired the other entity (such as a program, event, or content).
-
D.
firstBroadcastSeries
Indicates that one series was the first to be broadcast within a particular context, channel, or sequence of series.
-
E.
firstBroadcastInCountry
Indicates that a work (such as a program or broadcast) was first aired or transmitted in a specified country.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.