Triple
T33305640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charley Wykeham |
E852720
|
entity |
| Predicate | adaptationFirstAppearance |
P86782
|
FINISHED |
| Object | Where's Charley? |
—
|
NE NERFINISHED |
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: Where's Charley? | Statement: [Charley Wykeham, adaptationFirstAppearance, Where's Charley?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationFirstAppearance Context triple: [Charley Wykeham, adaptationFirstAppearance, Where's Charley?]
-
A.
adaptationFirstAirDate
Indicates the calendar date on which an adaptation of a work was first broadcast or made publicly available.
-
B.
adaptationAppearances
chosen
Indicates the relationship between an original work and the specific appearances or instances of its adaptations in other media or versions.
-
C.
airDateOfFirstAppearance
Indicates the calendar date on which an entity (such as a character, show, or episode) was first broadcast or made publicly available.
-
D.
firstAppearanceApprox
Indicates that one entity is the approximate or estimated first appearance of another entity in time or context.
-
E.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:33 a.m.