Triple
T24248249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fright Night franchise |
E603441
|
entity |
| Predicate | hasMainPremise |
P94852
|
FINISHED |
| Object | a teenager discovers his neighbor is a 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: a teenager discovers his neighbor is a vampire | Statement: [Fright Night franchise, hasMainPremise, a teenager discovers his neighbor is a vampire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainPremise Context triple: [Fright Night franchise, hasMainPremise, a teenager discovers his neighbor is a vampire]
-
A.
hasPremise
chosen
Indicates that one statement, argument, or conclusion is supported or justified by another statement serving as its premise.
-
B.
premise
Indicates that a statement or proposition provides the foundational assumption or starting point from which a conclusion or inference is logically derived.
-
C.
hasPremises
Indicates that one entity is supported, justified, or based on the premises provided by another entity.
-
D.
hasMainProponent
Indicates that one entity is the primary advocate, champion, or leading supporter of another entity.
-
E.
hasPrimarySubject
Indicates that an entity is the main or principal subject associated with another entity or resource.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b860a0c81908c884ae876b46093 |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:04 a.m.