Triple
T29074132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lest Darkness Fall |
E735888
|
entity |
| Predicate | hasTechnologyIntroducedByProtagonist |
P143236
|
FINISHED |
| Object | printing press |
—
|
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: printing press | Statement: [Lest Darkness Fall, hasTechnologyIntroducedByProtagonist, printing press]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTechnologyIntroducedByProtagonist Context triple: [Lest Darkness Fall, hasTechnologyIntroducedByProtagonist, printing press]
-
A.
usesTechnologyInStory
Indicates that an entity incorporates or employs a particular technology within the context of a narrative or story.
-
B.
introducedTechnologyTo
chosen
Indicates that one entity was responsible for presenting, bringing, or implementing a particular technology to another entity or context for the first time.
-
C.
introducedTechnologyFrom
Indicates that one entity brought a particular technology into use or made it available originating from another entity or source.
-
D.
hasTechSavvyCharacter
Indicates that an entity includes or is associated with a character who is notably skilled or proficient with technology.
-
E.
technologyPioneered
Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 28, 2026, 10:22 a.m.