Triple

T17763389
Position Surface form Disambiguated ID Type / Status
Subject Frederick Fitzgerald E443438 entity
Predicate hasFamilyTieTo P7844 FINISHED
Object early 20th-century American politics 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: early 20th-century American politics | Statement: [Frederick Fitzgerald, hasFamilyTieTo, early 20th-century American politics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFamilyTieTo
Context triple: [Frederick Fitzgerald, hasFamilyTieTo, early 20th-century American politics]
  • A. hasFamilialTieTo chosen
    Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
  • B. hasNotableFamilyMembers
    Indicates that an entity is related to one or more family members who are considered notable or significant in some context.
  • C. hasAllegedRelationshipWith
    Indicates a claimed or suspected relationship between two entities that is not confirmed as factual.
  • D. associatedPoliticalFamily
    Indicates a relationship where an entity is linked or connected to a particular political family, dynasty, or lineage.
  • E. worksInCloseRelationshipWith
    Indicates a collaborative professional relationship in which two or more entities work together closely and interact frequently to achieve shared goals.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485f9fa188190aef5ffeb0b628632 completed April 19, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69e3d8d8e538819084f1584426b41d5e completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:11 a.m.