Triple
T26728652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Davenport |
E673903
|
entity |
| Predicate | bionicGeneration |
P96348
|
FINISHED |
| Object | first generation |
—
|
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: first generation | Statement: [Adam Davenport, bionicGeneration, first generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bionicGeneration Context triple: [Adam Davenport, bionicGeneration, first generation]
-
A.
hasCybernetic
Indicates that an entity possesses or is equipped with cybernetic enhancements, implants, or components.
-
B.
featuresCyborg
Indicates that something includes or prominently presents a cyborg as part of its content or composition.
-
C.
generationOf
Indicates that one entity is the origin, creator, or producer of another entity.
-
D.
hasExoskeleton
Indicates that an entity possesses an external supportive or protective skeletal structure covering its body.
-
E.
partOfGeneration
chosen
Indicates that one entity is a component, member, or subset of a particular generation or generational group associated with another entity.
- 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618401d2481908b10199b30333192 |
completed | May 2, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:43 a.m.