Triple

T9256038
Position Surface form Disambiguated ID Type / Status
Subject Propertius E222444 entity
Predicate CynthiaDescribedAs P45541 FINISHED
Object poet’s beloved in the Elegies 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: poet’s beloved in the Elegies | Statement: [Propertius, CynthiaDescribedAs, poet’s beloved in the Elegies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: CynthiaDescribedAs
Context triple: [Propertius, CynthiaDescribedAs, poet’s beloved in the Elegies]
  • A. characterDescription
    Indicates that one entity provides a textual description or portrayal of the characteristics, traits, or attributes of another entity.
  • B. roleOfJennifer Morris
    Indicates that Jennifer Morris holds or performs a particular role, position, or function in relation to another entity or context.
  • C. roleCharacteristic
    Indicates that a particular characteristic, quality, or attribute is associated with and helps define a given role or function.
  • D. narrativeCharacter chosen
    Indicates that one entity functions as a character within the narrative or story associated with another entity.
  • E. designedRole
    Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b4e2048190af0d65b904677c36 completed April 1, 2026, 11:51 a.m.
PD Predicate disambiguation batch_69cc7a4e79e48190b3200247f4624867 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:32 p.m.