Triple
T30020573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence D. Cohen |
E762723
|
entity |
| Predicate | adaptedWorksOf |
P77539
|
FINISHED |
| Object | Stephen King |
—
|
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: Stephen King | Statement: [Lawrence D. Cohen, adaptedWorksOf, Stephen King]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptedWorksOf Context triple: [Lawrence D. Cohen, adaptedWorksOf, Stephen King]
-
A.
adaptedWorkOf
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
-
B.
adaptedWorkOfAuthor
chosen
Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
-
C.
hasAdaptationsOfWorksIn
Indicates that an entity includes or contains adaptations of works that originate from another specified entity or context.
-
D.
adaptedIntoWork
Indicates that an original work has been transformed or re-created into another work, typically in a different medium or format.
-
E.
inspiredAdaptationsOf
Indicates that one work or creation has been adapted or transformed into another as a result of being inspired by it.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 6:47 p.m.