Triple
T24457709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subhuman Race |
E616733
|
entity |
| Predicate | hasDarkerProductionStyle |
P152748
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Subhuman Race, hasDarkerProductionStyle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDarkerProductionStyle Context triple: [Subhuman Race, hasDarkerProductionStyle, true]
-
A.
hasRawProductionStyle
Indicates that something is characterized by an unpolished, unrefined, or minimally processed style of production.
-
B.
usesProductionStyle
Indicates that one entity creates, presents, or operates another entity using a particular production style or method.
-
C.
hasDarkerTone
Indicates that one entity possesses a color or shade that is visually darker than that of another entity.
-
D.
featuresAggressiveProductionStyle
chosen
Indicates that the subject’s production is characterized by intense, forceful, or hard-hitting stylistic choices.
-
E.
bodyStyleProduced
Indicates that a particular body style was manufactured or produced by a given entity (such as a company, plant, or production line).
- 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_69e2d7ef9fe08190a0613908758b4e86 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f298c812bc8190969836ee8f0eb2f2 |
completed | April 29, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:19 a.m.