Triple

T7043652
Position Surface form Disambiguated ID Type / Status
Subject Robert Greene E163575 entity
Predicate notableWork P4 FINISHED
Object Mamillia
Mamillia is an early prose romance by Robert Greene that helped establish his reputation in Elizabethan literature.
 E639277 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: Mamillia | Statement: [Robert Greene, notableWork, Mamillia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mamillia
Context triple: [Robert Greene, notableWork, Mamillia]
  • A. Macleaya
    Macleaya is a small genus of tall, herbaceous flowering plants known as plume poppies, cultivated for their ornamental foliage and feathery flower plumes.
  • B. Mopsuestia
    Mopsuestia was an ancient city in Cilicia (in modern-day Turkey), known as an important early Christian and Byzantine center.
  • C. Choisya
    Choisya is a small genus of aromatic evergreen shrubs, commonly known as Mexican orange blossom, cultivated for their fragrant white flowers and glossy foliage in ornamental gardens.
  • D. Acastus
    Acastus is a figure in Greek mythology, known as the son of King Pelias of Iolcus and one of the heroes who sailed with Jason on the quest for the Golden Fleece.
  • E. Picrasma
    Picrasma is a small genus of tropical and subtropical trees and shrubs known for their bitter compounds and use in traditional medicine.
  • 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: Mamillia
Triple: [Robert Greene, notableWork, Mamillia]
Generated description
Mamillia is an early prose romance by Robert Greene that helped establish his reputation in Elizabethan literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mamillia
Target entity description: Mamillia is an early prose romance by Robert Greene that helped establish his reputation in Elizabethan literature.
  • A. Macleaya
    Macleaya is a small genus of tall, herbaceous flowering plants known as plume poppies, cultivated for their ornamental foliage and feathery flower plumes.
  • B. Mopsuestia
    Mopsuestia was an ancient city in Cilicia (in modern-day Turkey), known as an important early Christian and Byzantine center.
  • C. Choisya
    Choisya is a small genus of aromatic evergreen shrubs, commonly known as Mexican orange blossom, cultivated for their fragrant white flowers and glossy foliage in ornamental gardens.
  • D. Acastus
    Acastus is a figure in Greek mythology, known as the son of King Pelias of Iolcus and one of the heroes who sailed with Jason on the quest for the Golden Fleece.
  • E. Picrasma
    Picrasma is a small genus of tropical and subtropical trees and shrubs known for their bitter compounds and use in traditional medicine.
  • F. None of above. chosen

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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e235a2e08190bb049ee6e719f0f9 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887141ac81909cb5e996a89e4ec5 completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c78c46ec18819098a6d0b0e6e4ce8b completed March 28, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69c78caca6dc8190bc03d285fbcd7910 completed March 28, 2026, 8:09 a.m.
Created at: March 27, 2026, 2:37 p.m.