Triple
T34249226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Jessup |
E878691
|
entity |
| Predicate | basedOnWorkAdaptedAs |
P169913
|
FINISHED |
| Object | The Cincinnati Kid (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: The Cincinnati Kid (film) | Statement: [Richard Jessup, basedOnWorkAdaptedAs, The Cincinnati Kid (film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnWorkAdaptedAs Context triple: [Richard Jessup, basedOnWorkAdaptedAs, The Cincinnati Kid (film)]
-
A.
basedOnWorkAdaptedTo
Indicates that one work is derived from and adapted based on the content, story, or elements of another pre-existing work.
-
B.
basedOnWorkAdaptations
chosen
Indicates that one work is an adaptation derived from, or created on the basis of, another pre-existing work.
-
C.
basedOnAdaptationWorkedOn
Indicates that something is derived from or created based on an adaptation that a particular agent worked on.
-
D.
workAdaptedIn
Indicates that a work has been transformed or re-created into another medium or format, such as a book adapted into a film, play, or other derivative work.
-
E.
workAdaptedFor
Indicates that one work has been modified or transformed to create another work specifically suited for a different medium, context, or audience.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 1, 2026, 1:56 a.m.