Triple

T7092620
Position Surface form Disambiguated ID Type / Status
Subject Michael De Luca E165233 entity
Predicate familyName P18 FINISHED
Object De Luca
De Luca is an Italian surname borne by numerous notable individuals across fields such as film, politics, sports, and the arts.
E642673 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 Luca | Statement: [Michael De Luca, familyName, De Luca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Luca
Context triple: [Michael De Luca, familyName, De Luca]
  • A. Guglielmino
    Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
  • B. Triggiano
    Triggiano is a town and comune in the Apulia region of southern Italy, situated near the city of Bari.
  • C. D’Aniello
    D’Aniello is an Italian-origin surname most prominently associated with American billionaire businessman and Carlyle Group co-founder Daniel A. D’Aniello.
  • D. Belmonte Calabro
    Belmonte Calabro is a historic hilltop town in the Calabria region of southern Italy, overlooking the Tyrrhenian Sea.
  • E. Manfredi
    Manfredi is an architect best known as one of the co-founders and principals of the New York–based architecture firm Weiss/Manfredi.
  • 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 Luca
Triple: [Michael De Luca, familyName, De Luca]
Generated description
De Luca is an Italian surname borne by numerous notable individuals across fields such as film, politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De Luca
Target entity description: De Luca is an Italian surname borne by numerous notable individuals across fields such as film, politics, sports, and the arts.
  • A. Guglielmino
    Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
  • B. Triggiano
    Triggiano is a town and comune in the Apulia region of southern Italy, situated near the city of Bari.
  • C. D’Aniello
    D’Aniello is an Italian-origin surname most prominently associated with American billionaire businessman and Carlyle Group co-founder Daniel A. D’Aniello.
  • D. Belmonte Calabro
    Belmonte Calabro is a historic hilltop town in the Calabria region of southern Italy, overlooking the Tyrrhenian Sea.
  • E. Manfredi
    Manfredi is an architect best known as one of the co-founders and principals of the New York–based architecture firm Weiss/Manfredi.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e532513c8190968eea8a0d3235a0 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c960484819098228cebccb8c935 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79ef0e8448190a8f0a7572ee87f5f completed March 28, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69c79fa4e69881909cf991a5d0ab3de9 completed March 28, 2026, 9:30 a.m.
Created at: March 27, 2026, 2:41 p.m.