Triple
T955912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple TV |
E20625
|
entity |
| Predicate | secondGenerationReleaseDate |
P21815
|
FINISHED |
| Object | September 2010 |
—
|
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: September 2010 | Statement: [Apple TV, secondGenerationReleaseDate, September 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondGenerationReleaseDate Context triple: [Apple TV, secondGenerationReleaseDate, September 2010]
-
A.
secondGenerationStartYear
Indicates the calendar year in which the second generation of something (e.g., a product, model, or series) begins.
-
B.
publicationYearOfSecondEdition
Indicates the year in which the second edition of a work was published.
-
C.
sequelReleaseYear
Indicates the calendar year in which a sequel to an original work is released.
-
D.
firstReleasedAs
Indicates the original title or form under which an entity (such as a work, product, or version) was initially released before any later re-releases, renamings, or editions.
-
E.
secondApparitionDate
Indicates the date on which an entity appeared or manifested for the second time.
- F. None of above. chosen
Provenance (4 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f7a7608190b8a8dd2486654bec |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a18ecc8190883f6206fe3b0fb6 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b326d9d88190913c1a892a795707 |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.