Triple
T38570293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manifesto |
E929246
|
entity |
| Predicate | featuresManifestoOf |
P206533
|
FINISHED |
| Object | Futurism |
E12530
|
NE 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: Futurism | Statement: [Manifesto, featuresManifestoOf, Futurism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresManifestoOf Context triple: [Manifesto, featuresManifestoOf, Futurism]
-
A.
featuresDemonstrationOf
Indicates that one entity includes, presents, or contains a demonstration or illustrative example of another entity.
-
B.
featuresPublisher
Indicates that one entity highlights, showcases, or gives prominent placement to a publisher.
-
C.
featuresDemon
Indicates that an entity includes, depicts, or prominently involves a demon.
-
D.
featuresSign
Indicates that an entity includes, displays, or incorporates a particular sign as part of its appearance, content, or design.
-
E.
featuresModel
Indicates that one entity includes, exposes, or is characterized by a particular model as one of its defining components or capabilities.
- F. None of above. chosen
Provenance (5 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41e04b81b88190a5e274527e1e3704 |
completed | June 29, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.