Triple
T10396016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suite from 'Ma Ma' |
E245019
|
entity |
| Predicate | sourceFilmReleaseYear |
P13249
|
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: [Suite from 'Ma Ma', sourceFilmReleaseYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceFilmReleaseYear Context triple: [Suite from 'Ma Ma', sourceFilmReleaseYear, 2015]
-
A.
filmReleaseYear
chosen
Indicates the calendar year in which a film was first officially released to the public.
-
B.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
C.
filmReleaseDate
Indicates the calendar date on which a film was first officially released or made publicly available.
-
D.
commercialReleaseYear
Indicates the calendar year in which a product, work, or item was first made commercially available to the public.
-
E.
yearOfPassage
Indicates the specific calendar year in which a law, bill, or formal measure was officially passed or enacted.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:06 p.m.