Triple
T36080931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tipping Point |
E1043642
|
entity |
| Predicate | airingTime |
P72331
|
FINISHED |
| Object | daytime 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: daytime television | Statement: [Tipping Point, airingTime, daytime television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airingTime Context triple: [Tipping Point, airingTime, daytime television]
-
A.
screeningTime
Indicates the scheduled time at which a screening (such as a film, show, or test) is set to occur.
-
B.
airingStatus
Indicates the current broadcast state of something, such as whether it is currently airing, has finished airing, or is scheduled to air.
-
C.
airingBlock
chosen
Indicates the programming block or time slot during which a media item is broadcast or scheduled to air.
-
D.
typicalViewingTime
Indicates the usual or most common amount of time an entity is viewed or watched under normal circumstances.
-
E.
eraDuration
Indicates the length of time that a particular era or period spans.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.