Triple
T7289120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam & Cat |
E163946
|
entity |
| Predicate | originallyAired |
P66420
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Sam & Cat, originallyAired, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyAired Context triple: [Sam & Cat, originallyAired, 2013]
-
A.
originallyAiredOn
Indicates the date or time when a media work (such as a TV episode, radio show, or broadcast) was first publicly aired.
-
B.
originallyAiredIn
Indicates the country, region, or network where a show, episode, or broadcast was first originally aired.
-
C.
firstAired
Indicates the date on which something (such as a show, episode, or broadcast content) was first aired or publicly transmitted.
-
D.
originallyAiredAs
Indicates that one work or episode was first broadcast under a particular title, format, or context.
-
E.
originallyPremieredInYear
chosen
Indicates the calendar year in which something (such as a work, show, or event) first premiered or was initially released.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.