Triple
T7034169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Risen |
E163337
|
entity |
| Predicate | alternateDescription |
P74595
|
FINISHED |
| Object | 2016 American biblical mystery drama film |
—
|
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: 2016 American biblical mystery drama film | Statement: [Risen, alternateDescription, 2016 American biblical mystery drama film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternateDescription Context triple: [Risen, alternateDescription, 2016 American biblical mystery drama film]
-
A.
alternativeForm
Indicates that one entity is an alternative version, variant, or representation of another entity.
-
B.
laterDescribedAs
Indicates that an entity is referred to or characterized by a particular description or label at a later time.
-
C.
alternateMode
Indicates that one entity functions as an alternative form, configuration, or mode of operation for another entity.
-
D.
alternateEnding
Indicates that one version of a work provides a different conclusion or final sequence of events compared to the original or primary ending.
-
E.
altLabel
Indicates an alternative name, label, or synonym used to refer to the same entity as the primary label.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:36 p.m.