Triple
T29451823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nosferatu |
E746993
|
entity |
| Predicate | isUnofficialAdaptationOf |
P167202
|
FINISHED |
| Object | Dracula |
—
|
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: Dracula | Statement: [Nosferatu, isUnofficialAdaptationOf, Dracula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUnofficialAdaptationOf Context triple: [Nosferatu, isUnofficialAdaptationOf, Dracula]
-
A.
isPopularAdaptationOf
Indicates that one work is a widely known or well-received version derived from, based on, or reinterpreting another original work.
-
B.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
C.
laterAdaptedIn
Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
-
D.
adaptedAs
Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
-
E.
laterAdaptedFor
Indicates that something was subsequently modified or repurposed to serve a new use, context, 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b682f0c81908394f0f2f6ddc483 |
completed | May 2, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 3:33 p.m.