Triple
T20387968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paranormal Activity |
E498005
|
entity |
| Predicate | productionBudgetCategory |
P36902
|
FINISHED |
| Object | low budget |
—
|
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: low budget | Statement: [Paranormal Activity, productionBudgetCategory, low budget]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionBudgetCategory Context triple: [Paranormal Activity, productionBudgetCategory, low budget]
-
A.
productionBudget
chosen
Indicates the amount of money allocated or spent to produce a work, such as a film, show, or similar production.
-
B.
productionValue
Indicates the quantitative amount or worth of output generated in a production process or activity.
-
C.
filmProductionType
Indicates the specific kind or category of production under which a film was made (e.g., feature, short, documentary, TV movie).
-
D.
productionCategory
Indicates the classification or type of production process, output, or activity that an entity is associated with.
-
E.
cinemaCategory
Indicates the classification or genre category assigned to a cinema or film.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:28 a.m.