Triple

T10924797
Position Surface form Disambiguated ID Type / Status
Subject MGTOW E258036 entity
Predicate hasInternalDebate P57127 FINISHED
Object whether casual relationships with women are acceptable 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: whether casual relationships with women are acceptable | Statement: [MGTOW, hasInternalDebate, whether casual relationships with women are acceptable]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInternalDebate
Context triple: [MGTOW, hasInternalDebate, whether casual relationships with women are acceptable]
  • A. hasDebate
    Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
  • B. hasLongTermDebateOn
    Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
  • C. debatedAs
    Indicates that one entity is discussed or argued over in terms of being equivalent to, or serving in the role of, another entity within a debate or comparative argument.
  • D. hasNotableDebates
    Indicates that there have been significant or widely recognized debates or controversies involving the related entities.
  • E. debatedWithin chosen
    Indicates that something is discussed or argued about within a particular group, context, or domain.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708f7ab48190b60a4bb8fdb17c8e completed April 9, 2026, 9:25 a.m.
PD Predicate disambiguation batch_69d72e799f808190b6ab64fc7586a303 completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:22 p.m.