Triple

T988959
Position Surface form Disambiguated ID Type / Status
Subject Mary Warren E21341 entity
Predicate relationshipTypeWith John Proctor P10690 FINISHED
Object servant-master 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: servant-master | Statement: [Mary Warren, relationshipTypeWith John Proctor, servant-master]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith John Proctor
Context triple: [Mary Warren, relationshipTypeWith John Proctor, servant-master]
  • A. relationshipType chosen
    Indicates the specific kind of relationship that exists between two or more entities.
  • B. hasFamilialTieTo
    Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
  • C. historicalRelationship
    Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
  • D. hasPoliticalRelationshipWith
    Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
  • E. relationToProvidence
    Indicates a relationship or connection that something or someone has to Providence, such as origin, location, affiliation, or relevance.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4aa16f081909dcc7a7ce3fb1b64 completed March 1, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69a4b2abccbc8190a83af432f89eacf5 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.