Triple
T4502337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aston Martin DB5 |
E101249
|
entity |
| Predicate | firstJamesBondFilmAppearanceYear |
P56934
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Aston Martin DB5, firstJamesBondFilmAppearanceYear, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstJamesBondFilmAppearanceYear Context triple: [Aston Martin DB5, firstJamesBondFilmAppearanceYear, 1964]
-
A.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
B.
firstFilmTitle
Indicates the title of the first film associated with a given entity.
-
C.
statusInFirstFilm
Indicates the role, condition, or situation an entity has in its first film appearance.
-
D.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
E.
directorOfFirstAppearance
Indicates that a person is the director responsible for an entity’s first appearance (e.g., first episode, film, or installment) in a series or franchise.
- F. None of above. chosen
Provenance (4 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fb2bec8190b74b6a49d9475514 |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd521671688190bc655d25fa77eba2 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 1 p.m.