Triple

T14458797
Position Surface form Disambiguated ID Type / Status
Subject Gerolama Orsini E358527 entity
Predicate givenName P17 FINISHED
Object Gerolama
Gerolama is an Italian feminine given name, historically borne by women of noble families such as the Orsini.
 E1100352 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: Gerolama | Statement: [Gerolama Orsini, givenName, Gerolama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerolama
Context triple: [Gerolama Orsini, givenName, Gerolama]
  • A. Girolata
    Girolata is a remote, picturesque coastal village in western Corsica, France, known for its scenic bay and access only by boat or footpath.
  • B. Giacinto
    Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
  • C. Lodoletta
    Lodoletta is an opera in three acts by Italian composer Pietro Mascagni, known for its verismo style and tragic love story.
  • D. Camillo
    Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
  • E. Camillo
    Camillo is a loyal Sicilian courtier whose moral integrity and pivotal decisions drive key turns in the plot of the opera "The Winter’s Tale," adapted from Shakespeare’s play.
  • 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: Gerolama
Triple: [Gerolama Orsini, givenName, Gerolama]
Generated description
Gerolama is an Italian feminine given name, historically borne by women of noble families such as the Orsini.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerolama
Target entity description: Gerolama is an Italian feminine given name, historically borne by women of noble families such as the Orsini.
  • A. Girolata
    Girolata is a remote, picturesque coastal village in western Corsica, France, known for its scenic bay and access only by boat or footpath.
  • B. Giacinto
    Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
  • C. Lodoletta
    Lodoletta is an opera in three acts by Italian composer Pietro Mascagni, known for its verismo style and tragic love story.
  • D. Camillo
    Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
  • E. Camillo
    Camillo is a loyal Sicilian courtier whose moral integrity and pivotal decisions drive key turns in the plot of the opera "The Winter’s Tale," adapted from Shakespeare’s play.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91aabebc819097eb61b2d81c9a91 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64935d8081908e5b0e80027948e0 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd65cf06308190bf7b6463bc109542 completed May 8, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69fd66476ab88190b2d410ced33ce34b completed May 8, 2026, 4:27 a.m.
Created at: April 10, 2026, 1:19 a.m.