Triple

T13668739
Position Surface form Disambiguated ID Type / Status
Subject Comtesse Ferraud E327692 entity
Predicate legalStatusInPlot P111079 FINISHED
Object remarried widow 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: remarried widow | Statement: [Comtesse Ferraud, legalStatusInPlot, remarried widow]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusInPlot
Context triple: [Comtesse Ferraud, legalStatusInPlot, remarried widow]
  • A. hasLandStatus
    Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
  • B. landTenure
    Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
  • C. landPolicy
    Indicates a relationship where an authority defines or applies rules governing the ownership, use, management, or distribution of land.
  • D. legalStatusAtIssue
    Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
  • E. legalStatusClarifiedBy
    Indicates that the legal status of something is defined, explained, or resolved by a specific document, decision, or authoritative act.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
PD Predicate disambiguation batch_69dbbe8d8d0881908d6e89954f44eed4 completed April 12, 2026, 3:47 p.m.
PDg Predicate description generation batch_69dbc59ca1a88190a6abd3bd00554c93 completed April 12, 2026, 4:17 p.m.
Created at: April 9, 2026, 9:52 p.m.