Triple
T27762624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crythin Gifford |
E701506
|
entity |
| Predicate | inspiredAdaptationsOf |
P168608
|
FINISHED |
| Object | The Woman in Black (stage play) |
—
|
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 Woman in Black (stage play) | Statement: [Crythin Gifford, inspiredAdaptationsOf, The Woman in Black (stage play)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredAdaptationsOf Context triple: [Crythin Gifford, inspiredAdaptationsOf, The Woman in Black (stage play)]
-
A.
inspiredAdaptationsIn
Indicates that one entity served as the creative source or influence for adaptations that were produced or manifested within another entity (such as a medium, work, or context).
-
B.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
C.
inspiredByAdaptationOf
Indicates that something draws its inspiration from an adaptation (rather than the original source) of another work or entity.
-
D.
filmAdaptationOfWork
Indicates that a film is an adaptation based on the narrative content of a specific original work.
-
E.
laterAdaptedIn
Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 4:28 p.m.