Triple

T8692347
Position Surface form Disambiguated ID Type / Status
Subject Tullia Ciceronis E206321 entity
Predicate alsoKnownAs P39 FINISHED
Object Tulliola
Tulliola was the beloved daughter of the Roman orator and statesman Cicero, remembered for her close relationship with her father and her early death.
 E750433 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: Tulliola | Statement: [Tullia Ciceronis, alsoKnownAs, Tulliola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tulliola
Context triple: [Tullia Ciceronis, alsoKnownAs, Tulliola]
  • A. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • B. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • C. La Grassa
    La Grassa is a famous nickname for the Italian city of Bologna, highlighting its rich culinary tradition and renowned food culture.
  • D. Qualley
    Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
  • E. Ciannelli
    Ciannelli is an Italian surname most notably associated with Eduardo Ciannelli, an Italian-American character actor known for his roles in early 20th-century cinema.
  • 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: Tulliola
Triple: [Tullia Ciceronis, alsoKnownAs, Tulliola]
Generated description
Tulliola was the beloved daughter of the Roman orator and statesman Cicero, remembered for her close relationship with her father and her early death.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tulliola
Target entity description: Tulliola was the beloved daughter of the Roman orator and statesman Cicero, remembered for her close relationship with her father and her early death.
  • A. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • B. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • C. La Grassa
    La Grassa is a famous nickname for the Italian city of Bologna, highlighting its rich culinary tradition and renowned food culture.
  • D. Qualley
    Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
  • E. Ciannelli
    Ciannelli is an Italian surname most notably associated with Eduardo Ciannelli, an Italian-American character actor known for his roles in early 20th-century cinema.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5825385081908dee42cba8e98392 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3ea2ba08190b8046e703ba7d2d8 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef538b4008190b00fa3f16b231ca3 completed April 2, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69cef6a6b6d4819089b3dc327a05b759 completed April 2, 2026, 11:07 p.m.
Created at: March 30, 2026, 6:33 p.m.