Triple
T23897311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Morgan |
E600938
|
entity |
| Predicate | portrayedHybridCreature |
P115485
|
FINISHED |
| Object | vampire-werewolf hybrid |
—
|
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-werewolf hybrid | Statement: [Joseph Morgan, portrayedHybridCreature, vampire-werewolf hybrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedHybridCreature Context triple: [Joseph Morgan, portrayedHybridCreature, vampire-werewolf hybrid]
-
A.
hasAnimalHumanHybrids
Indicates that a subject possesses, contains, or is associated with beings that are hybrids between animals and humans.
-
B.
fictionalSpecies
Indicates that the subject is a species that exists only in fiction or imaginary works, rather than in real life.
-
C.
hasHybridSpecies
Indicates that one entity is a hybrid species that results from the combination or crossbreeding of another entity (or entities).
-
D.
associatedCharacterSpecies
Indicates that one entity is related to, or linked with, the species of a particular character.
-
E.
fictionalPerformerSpecies
chosen
Indicates that a performer in a fictional work belongs to, or is characterized as, a particular fictional species.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdda39448190bdefa953e0558583 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.