Triple
T32064732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spike Martin |
E818843
|
entity |
| Predicate | basedOnGenreConvention |
P105219
|
FINISHED |
| Object | spacefarer archetype |
—
|
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: spacefarer archetype | Statement: [Spike Martin, basedOnGenreConvention, spacefarer archetype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnGenreConvention Context triple: [Spike Martin, basedOnGenreConvention, spacefarer archetype]
-
A.
portraysGenreConvention
chosen
Indicates that an entity depicts or exemplifies a characteristic convention, trope, or stylistic feature associated with a particular genre.
-
B.
namedForGenre
Indicates that something is given a name based on or derived from a particular genre.
-
C.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
D.
hasGenreAsSetting
Indicates that a work’s setting is characterized by, or takes place within, a particular genre.
-
E.
basedOnWorkGenre
Indicates that one entity’s genre classification is derived from or determined by the genre of another work.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: May 1, 2026, 12:22 a.m.