Triple

T6025784
Position Surface form Disambiguated ID Type / Status
Subject Anne Lindsay Clark E134176 entity
Predicate positionInFamilyByMarriage P17516 FINISHED
Object daughter-in-law of Franklin D. Roosevelt 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: daughter-in-law of Franklin D. Roosevelt | Statement: [Anne Lindsay Clark, positionInFamilyByMarriage, daughter-in-law of Franklin D. Roosevelt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionInFamilyByMarriage
Context triple: [Anne Lindsay Clark, positionInFamilyByMarriage, daughter-in-law of Franklin D. Roosevelt]
  • A. positionOnMarriage
    Indicates a person's stance, opinion, or policy regarding the institution or practice of marriage.
  • B. maritalRelations
    Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
  • C. marriedToRank
    Indicates that one entity is married to another entity who holds a specific rank or position.
  • D. connectedThroughMarriageVia chosen
    Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
  • E. houseByMarriage
    Indicates a familial or household relationship established through marriage rather than by blood or direct residence.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fc08c5c819085afab5b18bce4d1 completed March 22, 2026, 8:23 p.m.
PD Predicate disambiguation batch_69c049e75b3881908be106fbcf8c68d4 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:07 p.m.