Triple
T25156765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonderfalls |
E626333
|
entity |
| Predicate | broadcastTimeslot |
P14564
|
FINISHED |
| Object | Friday night |
—
|
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: Friday night | Statement: [Wonderfalls, broadcastTimeslot, Friday night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastTimeslot Context triple: [Wonderfalls, broadcastTimeslot, Friday night]
-
A.
broadcastTimeSlot
chosen
Indicates the specific time period during which a broadcast (such as a TV or radio program) is scheduled to air.
-
B.
broadcastDay
Indicates the specific day on which a program, event, or content is broadcast or scheduled to be broadcast.
-
C.
broadcastScheduleChange
Indicates that a modification has been made to the planned timing or lineup of a broadcast.
-
D.
broadcastDuring
Indicates that one event or program is broadcast while another specified time period or event is occurring.
-
E.
broadcastProgram
Indicates that a media outlet or channel transmits a specific program to an audience via a broadcast medium.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 18, 2026, 6:30 a.m.