Triple

T8915341
Position Surface form Disambiguated ID Type / Status
Subject gens Cornelia E212281 entity
Predicate hasCognomen P6662 FINISHED
Object Merula
Merula was a cognomen used by members of the ancient Roman gens Cornelia, a prominent patrician family in the Roman Republic.
 E765618 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: Merula | Statement: [gens Cornelia, hasCognomen, Merula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merula
Context triple: [gens Cornelia, hasCognomen, Merula]
  • A. Semeka
    Semeka is a former American college basketball player and coach best known for her standout career with the Tennessee Lady Volunteers under Pat Summitt.
  • B. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • C. Mongibello
    Mongibello is a traditional name used in Italian and Sicilian contexts to refer to Mount Etna, the large active volcano on the east coast of Sicily.
  • D. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • E. Smutsia
    Smutsia is a genus of African ground pangolins known for their protective keratin scales and burrowing lifestyle.
  • 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: Merula
Triple: [gens Cornelia, hasCognomen, Merula]
Generated description
Merula was a cognomen used by members of the ancient Roman gens Cornelia, a prominent patrician family in the Roman Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merula
Target entity description: Merula was a cognomen used by members of the ancient Roman gens Cornelia, a prominent patrician family in the Roman Republic.
  • A. Semeka
    Semeka is a former American college basketball player and coach best known for her standout career with the Tennessee Lady Volunteers under Pat Summitt.
  • B. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • C. Mongibello
    Mongibello is a traditional name used in Italian and Sicilian contexts to refer to Mount Etna, the large active volcano on the east coast of Sicily.
  • D. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • E. Smutsia
    Smutsia is a genus of African ground pangolins known for their protective keratin scales and burrowing lifestyle.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc660f6a088190b0af829ea809d8ad completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4102e881908441669e14e5c491 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbacea9408190a38f14817437c382 completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb6235148190850865a734d55a6c completed April 3, 2026, 1:06 p.m.
Created at: March 30, 2026, 6:56 p.m.