Triple
T33294713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deathdream |
E852407
|
entity |
| Predicate | madeOnLowBudget |
P176462
|
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: [Deathdream, madeOnLowBudget, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeOnLowBudget Context triple: [Deathdream, madeOnLowBudget, true]
-
A.
productionBudget
Indicates the amount of money allocated or spent to produce a work, such as a film, show, or similar production.
-
B.
madeInHollywood
Indicates that something was produced or created within Hollywood, typically referring to the Hollywood film or entertainment industry.
-
C.
mediumOfProduction
Indicates the method, material, or technology used to create or produce something.
-
D.
madeDocumentary
Indicates that one entity created or produced a documentary film or program about another entity.
-
E.
coProduced
Indicates that two or more entities jointly produced or created a work, project, or product together.
- F. None of above. chosen
Provenance (4 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:33 a.m.