Triple

T9545959
Position Surface form Disambiguated ID Type / Status
Subject Patrick de Carolis E230285 entity
Predicate familyName P18 FINISHED
Object de Carolis
De Carolis is an Italian-origin surname notably borne by French journalist and former France Télévisions president Patrick de Carolis.
E805229 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: de Carolis | Statement: [Patrick de Carolis, familyName, de Carolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Carolis
Context triple: [Patrick de Carolis, familyName, de Carolis]
  • A. Carina
    Carina is a prominent southern constellation best known for containing Canopus, the second-brightest star in the night sky.
  • B. Carina
    Carina is a feminine given name used in various cultures, often associated with meanings like “beloved” or “dear.”
  • C. Mariani
    Mariani is a town in Assam, India, known as a key railway hub in the region.
  • D. Darré
    Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
  • E. Leonida
    Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
  • 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: de Carolis
Triple: [Patrick de Carolis, familyName, de Carolis]
Generated description
De Carolis is an Italian-origin surname notably borne by French journalist and former France Télévisions president Patrick de Carolis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: de Carolis
Target entity description: De Carolis is an Italian-origin surname notably borne by French journalist and former France Télévisions president Patrick de Carolis.
  • A. Carina
    Carina is a prominent southern constellation best known for containing Canopus, the second-brightest star in the night sky.
  • B. Carina
    Carina is a feminine given name used in various cultures, often associated with meanings like “beloved” or “dear.”
  • C. Mariani
    Mariani is a town in Assam, India, known as a key railway hub in the region.
  • D. Darré
    Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
  • E. Leonida
    Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9902fca081909125660ae6336d3f completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c747e608190b2fa470324fff454 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14cfcfc6c8190a39f4db25ffa160e completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14d5dad98819089c49afd3d097c1f completed April 4, 2026, 5:41 p.m.
Created at: March 30, 2026, 8:02 p.m.