Triple

T14136875
Position Surface form Disambiguated ID Type / Status
Subject Gnaeus Calpurnius Piso E350319 entity
Predicate spouse P13 FINISHED
Object Plancina
Plancina was a Roman noblewoman of the early 1st century AD, historically noted for her involvement in the political scandal surrounding the death of Germanicus.
 E1082388 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: Plancina | Statement: [Gnaeus Calpurnius Piso, spouse, Plancina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plancina
Context triple: [Gnaeus Calpurnius Piso, spouse, Plancina]
  • A. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • B. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • C. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • D. Pećane
    Pećane is a village in Serbia known primarily as the birthplace of Jovanka Broz, the wife of former Yugoslav leader Josip Broz Tito.
  • E. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • 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: Plancina
Triple: [Gnaeus Calpurnius Piso, spouse, Plancina]
Generated description
Plancina was a Roman noblewoman of the early 1st century AD, historically noted for her involvement in the political scandal surrounding the death of Germanicus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Plancina
Target entity description: Plancina was a Roman noblewoman of the early 1st century AD, historically noted for her involvement in the political scandal surrounding the death of Germanicus.
  • A. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • B. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • C. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • D. Pećane
    Pećane is a village in Serbia known primarily as the birthplace of Jovanka Broz, the wife of former Yugoslav leader Josip Broz Tito.
  • E. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610fb86c81909eb26bf9c13696ca completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf16079c819080a74cd8a6eb37a6 completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce89cf5b08190a2a610f49a4b6f90 completed May 7, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69fce984be2881909b38e3d9e4fac243 completed May 7, 2026, 7:35 p.m.
Created at: April 10, 2026, 12:28 a.m.