Triple
T30020561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence D. Cohen |
E762723
|
entity |
| Predicate | wroteStageAdaptationOf |
P168360
|
FINISHED |
| Object | Carrie (musical) |
—
|
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: Carrie (musical) | Statement: [Lawrence D. Cohen, wroteStageAdaptationOf, Carrie (musical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wroteStageAdaptationOf Context triple: [Lawrence D. Cohen, wroteStageAdaptationOf, Carrie (musical)]
-
A.
usedInStageAdaptationsOf
Indicates that something (such as a work, element, or material) is employed or incorporated in stage adaptations of another work or source.
-
B.
adaptationOfPulitzerPrizeWinningWork
Indicates that the subject is an adaptation of a work that has received a Pulitzer Prize.
-
C.
screenWriterAdaptationBy
Indicates that a person served as the screenwriter responsible for adapting an existing work into a screenplay.
-
D.
musicalAdaptationBy
Indicates that one work has been adapted into a musical by a specified creator or adapter.
-
E.
librettoAdaptationToLanguage
Indicates that a libretto has been adapted or translated into a specific target language.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67987d8548190ad2276a4bc4c7a10 |
completed | May 2, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:47 p.m.