Triple
T32067417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Famous Teddy Z |
E818917
|
entity |
| Predicate | airedOnDaypart |
P138971
|
FINISHED |
| Object | prime time |
—
|
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: prime time | Statement: [The Famous Teddy Z, airedOnDaypart, prime time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airedOnDaypart Context triple: [The Famous Teddy Z, airedOnDaypart, prime time]
-
A.
airedOnDay
Indicates that an event or program was broadcast on a specific day.
-
B.
airedOn
Indicates that a broadcasted program or episode was shown on a specific channel, platform, or medium.
-
C.
airedUntil
Indicates the date or time up to which something, typically a broadcast or series, was shown or transmitted.
-
D.
segmentOfDaypart
chosen
Indicates that one time segment occurs within or corresponds to a specific part of the day (e.g., morning, afternoon, evening).
-
E.
airedOnProgramType
Indicates that an episode, segment, or content item was broadcast as part of a program of a specified type (e.g., news, documentary, sports).
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b52037948190b7928563c1d9b20d |
completed | May 3, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:22 a.m.