Triple
T8994812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakfast at Tiffany's (1966 musical) |
E214876
|
entity |
| Predicate | hasYearOfPremiere |
P7689
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [Breakfast at Tiffany's (1966 musical), hasYearOfPremiere, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYearOfPremiere Context triple: [Breakfast at Tiffany's (1966 musical), hasYearOfPremiere, 1966]
-
A.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
B.
filmFestivalPremiereYear
Indicates the year in which a film first premiered at a film festival.
-
C.
worldPremiereYear
chosen
Indicates the calendar year in which a work, event, or production was first publicly premiered anywhere in the world.
-
D.
filmReleaseYear
Indicates the calendar year in which a film was first officially released to the public.
-
E.
timePeriodOfPremiere
Indicates the time period during which the premiere of something (such as a work, event, or performance) took place.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68ddff288190869731df2c178ff6 |
completed | April 1, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:04 p.m.