Triple

T16572367
Position Surface form Disambiguated ID Type / Status
Subject Caietanus E402618 entity
Predicate hasPluralForm P5088 FINISHED
Object Caietani
Caietani is the Latin plural form referring to people from Caieta (modern Gaeta) in ancient Italy.
 E1221364 NE FINISHED

How this triple was built (4 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: Caietani | Statement: [Caietanus, hasPluralForm, Caietani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caietani
Context triple: [Caietanus, hasPluralForm, Caietani]
  • A. Caietana
    Caietana is a feminine given name of Latin origin, derived from the masculine name Caietanus (Gaetano), historically associated with the Italian town of Gaeta.
  • B. Avramescu
    Avramescu is a Romanian surname most notably associated with Gheorghe Avramescu, a Romanian general during World War II.
  • C. Nicușor
    Nicușor is a Romanian masculine given name, often used as a diminutive or affectionate form of Nicolae.
  • D. Iancului
    Iancului is a residential and commercial neighborhood in Bucharest, Romania, known for its busy intersections, apartment blocks, and access to public transportation.
  • E. Rumâri
    Rumâri are an Eastern Romance-speaking ethnic group in Istria, traditionally known as the local Vlach or Istro-Romanian community.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Caietani
Triple: [Caietanus, hasPluralForm, Caietani]
Generated description
Caietani is the Latin plural form referring to people from Caieta (modern Gaeta) in ancient Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caietani
Target entity description: Caietani is the Latin plural form referring to people from Caieta (modern Gaeta) in ancient Italy.
  • A. Caietana chosen
    Caietana is a feminine given name of Latin origin, derived from the masculine name Caietanus (Gaetano), historically associated with the Italian town of Gaeta.
  • B. Avramescu
    Avramescu is a Romanian surname most notably associated with Gheorghe Avramescu, a Romanian general during World War II.
  • C. Nicușor
    Nicușor is a Romanian masculine given name, often used as a diminutive or affectionate form of Nicolae.
  • D. Iancului
    Iancului is a residential and commercial neighborhood in Bucharest, Romania, known for its busy intersections, apartment blocks, and access to public transportation.
  • E. Rumâri
    Rumâri are an Eastern Romance-speaking ethnic group in Istria, traditionally known as the local Vlach or Istro-Romanian community.
  • F. None of above.

Provenance (5 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35959f1748190934b263d6bc94143 completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759424348190889dacbbc7435238 completed May 10, 2026, 12:09 p.m.
NEDg Description generation batch_6a00783334a08190ae76fd7e114a9dd6 completed May 10, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0078562e788190b80a4ee27788ff69 completed May 10, 2026, 12:21 p.m.
Created at: April 10, 2026, 5:16 a.m.