Triple
T25060199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Williamson |
E627633
|
entity |
| Predicate | filmAdaptationYearOfWork |
P2376
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [John Williamson, filmAdaptationYearOfWork, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmAdaptationYearOfWork Context triple: [John Williamson, filmAdaptationYearOfWork, 1992]
-
A.
filmAdaptationStarred
Indicates that a particular person played a starring role in a specific film adaptation of a work.
-
B.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
C.
adaptationReleaseYear
chosen
Indicates the year in which an adaptation of a work was released.
-
D.
filmAdaptationStudio
Indicates that a particular studio is responsible for producing or creating the film adaptation of a work.
-
E.
filmAdaptationFormat
Indicates the specific medium or format (e.g., feature film, TV movie, short film) in which a work has been adapted into a film.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f45997ff78819082a60f81f9a88064 |
completed | May 1, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:09 a.m.