Triple

T22186100
Position Surface form Disambiguated ID Type / Status
Subject Tullia Minor E548300 entity
Predicate moralExemplarAs P135865 FINISHED
Object negative example of female ambition in Roman literature 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: negative example of female ambition in Roman literature | Statement: [Tullia Minor, moralExemplarAs, negative example of female ambition in Roman literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralExemplarAs
Context triple: [Tullia Minor, moralExemplarAs, negative example of female ambition in Roman literature]
  • A. moralExemplarOf
    Indicates that one entity serves as a model or standard of moral behavior for another entity or group.
  • B. moralPortrayal chosen
    Indicates how an entity is depicted in terms of moral qualities, such as virtue, vice, or ethical standing, within a given context.
  • C. moralRealization
    Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
  • D. hasMoralCharacteristic
    Indicates that an entity possesses a particular moral quality, trait, or ethical attribute.
  • E. isMoralFoilFor
    Indicates that one entity serves as a contrasting counterpart whose differing moral qualities highlight or emphasize the moral traits of 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa8f178819094d1556df5aee5b9 completed April 28, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69e71b48576c8190a8e93738fd9cfda5 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:35 p.m.