Triple

T29635332
Position Surface form Disambiguated ID Type / Status
Subject Cornelia E755696 entity
Predicate fatherPoliticalFaction P157575 FINISHED
Object Marian faction 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: Marian faction | Statement: [Cornelia, fatherPoliticalFaction, Marian faction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fatherPoliticalFaction
Context triple: [Cornelia, fatherPoliticalFaction, Marian faction]
  • A. hasPoliticalFamily
    Indicates that an entity is related by family ties to another entity involved in politics or holding political office.
  • B. fatherAllegiance chosen
    Indicates the allegiance or loyalty held by a person's father toward a particular group, cause, or authority.
  • C. parentPoliticalAffiliation
    Indicates that one entity has a political affiliation that is associated with, derived from, or characteristic of their parent.
  • D. associatedPoliticalFamily
    Indicates a relationship where an entity is linked or connected to a particular political family, dynasty, or lineage.
  • E. hasParentPoliticalParty
    Indicates that a political party is affiliated with, derived from, or organizationally subordinate to another, larger political party.
  • 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_69f0ef88fbe081908f0ad90c1c413f1c completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69f66e6a2790819082fb230e553bf4c5 completed May 2, 2026, 9:36 p.m.
PD Predicate disambiguation batch_69f6659d36208190b01412600a4ed57d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 6:43 p.m.