Triple

T110584
Position Surface form Disambiguated ID Type / Status
Subject The Prince and the Pauper E2239 entity
Predicate characterRoleSwap P7343 FINISHED
Object prince and pauper exchange identities 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: prince and pauper exchange identities | Statement: [The Prince and the Pauper, characterRoleSwap, prince and pauper exchange identities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterRoleSwap
Context triple: [The Prince and the Pauper, characterRoleSwap, prince and pauper exchange identities]
  • A. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • B. characterBasedOn
    Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
  • C. deFactoRole
    Indicates that an entity effectively functions in a role or capacity in practice, even if that role is not formally or officially assigned.
  • D. roleInTheology
    Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
  • E. playedRoleIn
    Indicates that an entity performed or assumed a specific role or character within a particular event, production, or context.
  • F. None of above. chosen

Provenance (4 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a258b58efc8190959c86f73d67b744 completed Feb. 28, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69a25641058c8190b5b64509b35d8176 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a258b30f6c8190be2181f30c40e04d completed Feb. 28, 2026, 2:53 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.