Triple
T33305641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charley Wykeham |
E852720
|
entity |
| Predicate | adaptationFirstAppearanceYear |
P178365
|
FINISHED |
| Object | 1948 |
—
|
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: 1948 | Statement: [Charley Wykeham, adaptationFirstAppearanceYear, 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationFirstAppearanceYear Context triple: [Charley Wykeham, adaptationFirstAppearanceYear, 1948]
-
A.
adaptationFirstAirDate
Indicates the calendar date on which an adaptation of a work was first broadcast or made publicly available.
-
B.
yearOfFirstApparition
Indicates the calendar year in which the entity first appeared or was introduced.
-
C.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
D.
firstStageAdaptationYear
Indicates the year in which a work was first adapted into a stage production.
-
E.
adaptationAppearances
Indicates the relationship between an original work and the specific appearances or instances of its adaptations in other media or versions.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:33 a.m.