Triple
T2359132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Pill communities |
E47229
|
entity |
| Predicate | usesJargon |
P16497
|
FINISHED |
| Object | alpha male |
—
|
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: alpha male | Statement: [Red Pill communities, usesJargon, alpha male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesJargon Context triple: [Red Pill communities, usesJargon, alpha male]
-
A.
usedTerm
chosen
Indicates that one entity employed, referenced, or applied a particular term in some context.
-
B.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
C.
usesInclusiveLanguage
Indicates that the subject communicates in a way that avoids biased, exclusionary, or discriminatory language toward any group.
-
D.
linguisticUsage
Indicates how a linguistic form, expression, or construction is used in language, such as its typical context, function, or register.
-
E.
isColloquialTerm
Indicates that one term is an informal or non-standard, colloquial way of referring to another term or concept.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc720b9048190a5d3b19e5e1f373a |
completed | March 7, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69abc599b92c819093d9e15d4437705d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:55 p.m.