Triple
T8574323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Return to Salem's Lot |
E203007
|
entity |
| Predicate | hasVampireCharacters |
P57422
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [A Return to Salem's Lot, hasVampireCharacters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVampireCharacters Context triple: [A Return to Salem's Lot, hasVampireCharacters, true]
-
A.
hasVampireCharacter
chosen
Indicates that an entity includes or features at least one character who is a vampire.
-
B.
hasFairyCharacters
Indicates that the subject includes or features characters that are fairies.
-
C.
hasVillain
Indicates that one entity is the villain or primary antagonist associated with another entity.
-
D.
hasGhostCharacter
Indicates that an entity includes, features, or is associated with a character that is a ghost.
-
E.
hasHorrorElements
Indicates that something contains features, themes, or stylistic aspects characteristic of the horror genre.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea947f188190af469babaa73ddf6 |
completed | March 31, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:21 p.m.