Triple

T4790572
Position Surface form Disambiguated ID Type / Status
Subject Ptolemy V Epiphanes E106589 entity
Predicate marriageAllianceThrough P49973 FINISHED
Object marriage to Cleopatra I Syra 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: marriage to Cleopatra I Syra | Statement: [Ptolemy V Epiphanes, marriageAllianceThrough, marriage to Cleopatra I Syra]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriageAllianceThrough
Context triple: [Ptolemy V Epiphanes, marriageAllianceThrough, marriage to Cleopatra I Syra]
  • A. marriageAllianceWith chosen
    Indicates a formal marital union established between two parties to create or strengthen a political, social, or strategic alliance.
  • B. connectedThroughMarriageVia
    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.
  • C. arrangedMarriageFor
    Indicates that one entity has organized or set up a marriage for another entity.
  • D. marries
    Indicates that one entity enters into a legally or socially recognized marital union with another entity.
  • E. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65dce6888190a0b1bdf416fb62b9 completed March 20, 2026, 3:21 p.m.
PD Predicate disambiguation batch_69bd622e1b408190806c15c61519fc74 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:22 p.m.