Triple
T19520920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnyard |
E488397
|
entity |
| Predicate | televisionSpinOffPremiereYear |
P27527
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Barnyard, televisionSpinOffPremiereYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionSpinOffPremiereYear Context triple: [Barnyard, televisionSpinOffPremiereYear, 2007]
-
A.
spinOffSeriesDebutYear
chosen
Indicates the calendar year in which a spin-off series first premiered or debuted.
-
B.
televisionPremiereYear
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
C.
spinOffSeriesEndYear
Indicates the year in which a spin-off series concluded or ended its run.
-
D.
seriesPremiereOf
Indicates that one creative work (typically an episode) is the first-ever installment that begins a television or similar serialized series.
-
E.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635a0b37c8190b70b7427c2e85f59 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:40 p.m.