Triple

T11310967
Position Surface form Disambiguated ID Type / Status
Subject Social and Rational E267832 entity
Predicate describesWorkType P44666 FINISHED
Object theoretical models of human behavior 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: theoretical models of human behavior | Statement: [Social and Rational, describesWorkType, theoretical models of human behavior]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: describesWorkType
Context triple: [Social and Rational, describesWorkType, theoretical models of human behavior]
  • A. workDescribedAs chosen
    Indicates that one entity’s work, project, or output is characterized, labeled, or referred to by a particular description, title, or phrase.
  • B. typeOfWork
    Indicates the kind or category of work associated with or performed by an entity.
  • C. workDescribedIn
    Indicates that a work (such as a publication or document) provides a description or account of the referenced entity.
  • D. identifiesWork
    Indicates that one entity recognizes or specifies another entity as a particular work (such as a creative, scholarly, or professional output) associated with it.
  • E. vocationType
    Indicates the specific kind or category of occupation, profession, or calling associated with an 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69d787aa31888190860eecaa80da5b20 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.