Triple

T27785499
Position Surface form Disambiguated ID Type / Status
Subject Mrs Cheveley E700947 entity
Predicate hasPastConnectionWith P19343 FINISHED
Object Lord Goring NE NERFINISHED

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: Lord Goring | Statement: [Mrs Cheveley, hasPastConnectionWith, Lord Goring]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPastConnectionWith
Context triple: [Mrs Cheveley, hasPastConnectionWith, Lord Goring]
  • A. formerlyConnectedTo chosen
    Indicates that two entities were once connected or associated in some way, but that connection no longer exists.
  • B. hasTeleconnectionsWith
    Indicates a relationship where changes or variations in one system, region, or variable are statistically linked to corresponding changes in another, often distant, system, region, or variable.
  • C. historicalContactWith
    Indicates that two entities have interacted or been in communication with each other at some point in the past.
  • D. hasFormerParticipant
    Indicates that an entity once participated in an activity, event, or organization but is no longer a current participant.
  • E. hasConnectionPotential
    Indicates that there exists a possibility or capacity for a meaningful connection or relationship to form between the entities.
  • 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_69ef6a50d8088190acbf3dfbb06d8091 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69fb563aec448190875410fb1a3ed624 completed May 6, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69fb35b9ede881908aaae93a215525df completed May 6, 2026, 12:36 p.m.
Created at: April 27, 2026, 5:24 p.m.