Triple
T34248510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holiday (1930 play) |
E878667
|
entity |
| Predicate | authorOfAdaptationSourceFor |
P102640
|
FINISHED |
| Object | Philip Barry |
—
|
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: Philip Barry | Statement: [Holiday (1930 play), authorOfAdaptationSourceFor, Philip Barry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfAdaptationSourceFor Context triple: [Holiday (1930 play), authorOfAdaptationSourceFor, Philip Barry]
-
A.
adaptedWorkOfAuthor
Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
-
B.
authorOfBookAdaptation
Indicates that one entity is the author of a book that has been adapted into another work (such as a film, series, or play).
-
C.
adaptedAuthor
chosen
Indicates that one entity is the author whose work has been adapted by another entity (e.g., into a different medium or format).
-
D.
novelAdaptationCoAuthor
Indicates that the specified person is a co-author of a novel that is an adaptation of another work.
-
E.
adaptedWorkOf
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
- 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_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 1, 2026, 1:56 a.m.