Triple
T12860592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimberly Williams as Annie Banks |
E307574
|
entity |
| Predicate | sequelFilmReleaseYear |
P15264
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Kimberly Williams as Annie Banks, sequelFilmReleaseYear, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequelFilmReleaseYear Context triple: [Kimberly Williams as Annie Banks, sequelFilmReleaseYear, 1995]
-
A.
sequelReleaseYear
chosen
Indicates the calendar year in which a sequel to an original work is released.
-
B.
sequelSpecialReleaseYear
Indicates the year in which a sequel received a special or re-released version.
-
C.
sequelAppearsIn
Indicates that a sequel (such as a follow-up work or installment) is featured, shown, or occurs within a specified context or medium.
-
D.
laterSeriesYear
Indicates that one entity is a series whose release or production year is later than that of another related series.
-
E.
secondFilmReleaseDate
Indicates the calendar date on which an entity’s second film was 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:37 p.m.