Triple

T28904513
Position Surface form Disambiguated ID Type / Status
Subject Mr. Charrington E733036 entity
Predicate pretendsToValue P165512 FINISHED
Object old objects and antiques 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: old objects and antiques | Statement: [Mr. Charrington, pretendsToValue, old objects and antiques]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pretendsToValue
Context triple: [Mr. Charrington, pretendsToValue, old objects and antiques]
  • A. emulates
    Indicates that one entity imitates or reproduces the behavior, function, or characteristics of another.
  • B. isValuedFor
    Indicates that one entity is appreciated, esteemed, or considered important because of a particular quality, contribution, or characteristic it provides to another entity.
  • C. valuedBy
    Indicates that one entity is regarded as important, useful, or held in high esteem by another entity.
  • D. pretenderPeriod
    Indicates a time span during which an entity falsely claims or is regarded as holding a role, title, or status it does not legitimately possess.
  • E. disguisedAs
    Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
  • 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_69f05b096d208190958a57d2e4b5a93a completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65ad948748190abe57197575a19dc completed May 2, 2026, 8:13 p.m.
PD Predicate disambiguation batch_69f6576487e081908d802f1caf59c423 completed May 2, 2026, 7:58 p.m.
PDg Predicate description generation batch_69f65875030881909007c502b7dcc998 completed May 2, 2026, 8:03 p.m.
Created at: April 28, 2026, 8:05 a.m.