Triple
T9968253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Beall |
E195737
|
entity |
| Predicate | notableGenreAdaptation |
P91353
|
FINISHED |
| Object | DC Comics characters |
—
|
LITERAL FINISHED |
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: DC Comics characters | Statement: [Will Beall, notableGenreAdaptation, DC Comics characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGenreAdaptation Context triple: [Will Beall, notableGenreAdaptation, DC Comics characters]
-
A.
notableAdaptation
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
B.
notableAdaptationType
Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
-
C.
adaptationOfWorkGenre
Indicates that one work is an adaptation of another work that belongs to a specific genre.
-
D.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
E.
notableAdaptationPerformance
Indicates that an entity is recognized for a significant performance in an adaptation of another work.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b683ac8190ac97bd775a860d29 |
completed | April 2, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:47 p.m.