Triple
T29224578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Story (Where Do I Begin) |
E740895
|
entity |
| Predicate | filmReleaseContextYear |
P13249
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Love Story (Where Do I Begin), filmReleaseContextYear, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmReleaseContextYear Context triple: [Love Story (Where Do I Begin), filmReleaseContextYear, 1970]
-
A.
filmReleaseYear
chosen
Indicates the calendar year in which a film was first officially released to the public.
-
B.
filmReleaseContext
Indicates the circumstances or setting (such as time, place, or format) under which a film is released.
-
C.
filmUseYear
Indicates that a film is associated with or utilizes a particular year, such as its setting, production year, or a key temporal reference in the narrative.
-
D.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
E.
filmRecordingReleaseYear
Indicates the calendar year in which a particular film recording was first released to the public.
- 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_69f07cbb12bc81908c1971d9de9a8d2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f664350c008190b334d5a508ea1038 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 12:16 p.m.