Triple

T28220031
Position Surface form Disambiguated ID Type / Status
Subject John Chamberlain (letter-writer) E711425 entity
Predicate correspondenceCharacteristic P128001 FINISHED
Object regular and detailed reporting 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: regular and detailed reporting | Statement: [John Chamberlain (letter-writer), correspondenceCharacteristic, regular and detailed reporting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: correspondenceCharacteristic
Context triple: [John Chamberlain (letter-writer), correspondenceCharacteristic, regular and detailed reporting]
  • A. recordCharacteristic
    Indicates that an entity documents or stores a specific characteristic or attribute of another entity.
  • B. matchCharacteristics
    Indicates that two or more entities share the same or sufficiently similar attributes, features, or properties according to specified criteria.
  • C. signatoryCharacteristic
    Indicates that a particular characteristic, attribute, or quality is associated with a signatory in the context of an agreement or document.
  • D. entityCharacteristic chosen
    Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
  • E. ruleCharacteristics
    Indicates the defining properties, constraints, or parameters that specify how a particular rule operates or should be applied.
  • 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_69efb51dfb048190ada79b745c33b363 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f66d7765208190b87b1cc6d96a151c completed May 2, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69f66abfdaf08190a55f14c70be6fd4d completed May 2, 2026, 9:21 p.m.
Created at: April 27, 2026, 10:45 p.m.