Triple
T5029544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuyo |
E113261
|
entity |
| Predicate | originallyReleasedIn |
P7689
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Tuyo, originallyReleasedIn, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyReleasedIn Context triple: [Tuyo, originallyReleasedIn, 2015]
-
A.
originallyReleasedOn
Indicates the date or platform on which something (such as a work, product, or media item) was first made publicly available.
-
B.
worldPremiereYear
chosen
Indicates the calendar year in which a work, event, or production was first publicly premiered anywhere in the world.
-
C.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
D.
theatricalReleaseWith
Indicates that two or more entities share the same theatrical release context, such as being released together or as part of the same theatrical event or distribution.
-
E.
originalRelease
Indicates the initial publication or first official release event of a work or product.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd739099a0819099c6201d4e1c5ee2 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.