Triple
T25384862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deacon Frost |
E631493
|
entity |
| Predicate | filmVersionSpecies |
P74771
|
FINISHED |
| Object | vampire |
—
|
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: vampire | Statement: [Deacon Frost, filmVersionSpecies, vampire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmVersionSpecies Context triple: [Deacon Frost, filmVersionSpecies, vampire]
-
A.
filmCharacterVersionOf
Indicates that one character is a specific film adaptation or portrayal of another character originating from a different version or medium.
-
B.
associatedCharacterSpecies
chosen
Indicates that one entity is related to, or linked with, the species of a particular character.
-
C.
versionUsedInFilm
Indicates that a particular version or edition of a work is the one that was used in a specific film.
-
D.
filmAdaptationGenre
Indicates that a film adaptation belongs to or is categorized under a particular genre.
-
E.
memberSpecies
Indicates that a particular species is a constituent or member of a larger biological or taxonomic group.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5656795248190a732c8596a0e740d |
completed | May 2, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:46 p.m.