Triple
T24429768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James St. James |
E615960
|
entity |
| Predicate | Freak ShowAdaptedAs |
P1926
|
FINISHED |
| Object | Freak Show (2017 film) |
—
|
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: Freak Show (2017 film) | Statement: [James St. James, Freak ShowAdaptedAs, Freak Show (2017 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Freak ShowAdaptedAs Context triple: [James St. James, Freak ShowAdaptedAs, Freak Show (2017 film)]
-
A.
adaptedAs
chosen
Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
-
B.
musicalAdaptationBy
Indicates that one work has been adapted into a musical by a specified creator or adapter.
-
C.
laterAdaptedFor
Indicates that something was subsequently modified or repurposed to serve a new use, context, or medium.
-
D.
laterAdaptedIn
Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
-
E.
adaptedAsPlayBy
Indicates that a work has been transformed or reinterpreted into a play by a particular adapter.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296aab8948190b9cb869bab71fb4c |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:15 a.m.