Triple

T9431229
Position Surface form Disambiguated ID Type / Status
Subject The Duke and Duchess E227378 entity
Predicate relationshipToSanchoPanza P88865 FINISHED
Object deceives Sancho Panza with false promises — 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: deceives Sancho Panza with false promises | Statement: [The Duke and Duchess, relationshipToSanchoPanza, deceives Sancho Panza with false promises]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToSanchoPanza
Context triple: [The Duke and Duchess, relationshipToSanchoPanza, deceives Sancho Panza with false promises]
  • A. relationshipWithManolin
    Indicates a relationship or connection that exists between an entity and Manolin, such as a bond, association, or interaction involving him.
  • B. relationshipToHuckFinn
    Indicates the specific type of personal or social relationship an entity has to Huck Finn.
  • C. relationshipToEsmeralda
    Indicates the specific type of relationship or connection an entity has to Esmeralda.
  • D. relationshipToAhab
    Indicates the specific type of personal or social connection an entity has with Ahab.
  • E. relationshipToKingShahryar
    Indicates the type or nature of a person's relationship to King Shahryar, such as familial, marital, or social connection.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e5ed7408190beda5fb078e9345a completed April 1, 2026, 8:21 p.m.
PD Predicate disambiguation batch_69cca55548488190b171ae695a3212de completed April 1, 2026, 4:55 a.m.
PDg Predicate description generation batch_69cca89b3368819087a3d69270c1f185 completed April 1, 2026, 5:09 a.m.
Created at: March 30, 2026, 7:49 p.m.