Triple
T8155220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David (Prime Minister) |
E190429
|
entity |
| Predicate | shortSequelReleaseYear |
P78066
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [David (Prime Minister), shortSequelReleaseYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortSequelReleaseYear Context triple: [David (Prime Minister), shortSequelReleaseYear, 2017]
-
A.
sequelReleaseYear
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.
secondShortReleaseYear
chosen
Indicates the year in which an entity’s second short-form release (such as a short film, EP, or similar work) was published or made available.
-
D.
laterSeriesYear
Indicates that one entity is a series whose release or production year is later than that of another related series.
-
E.
laterReleaseYear
Indicates that the release year of one entity occurs after the release year of another entity.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d725b88190b77dc7537c1fa95d |
completed | March 31, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.