Triple
T14006959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ready to Love |
E336973
|
entity |
| Predicate | airsOn |
P8705
|
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: [Ready to Love, airsOn, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airsOn Context triple: [Ready to Love, airsOn, television]
-
A.
airedOn
chosen
Indicates that a broadcasted program or episode was shown on a specific channel, platform, or medium.
-
B.
boardedBy
Indicates that an entity (such as a vehicle, vessel, or structure) is entered or mounted by another entity (such as a person or group), typically for travel, inspection, or occupation.
-
C.
seatOn
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
-
D.
endsOn
Indicates that one entity terminates or concludes precisely at the boundary or endpoint of another entity.
-
E.
airSupport
Indicates that one entity provides aerial assistance or backing to another, typically through aircraft-based protection, transport, or attack.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed327d88190a53af5768468a8eb |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.