Triple

T11722999
Position Surface form Disambiguated ID Type / Status
Subject Stanislas Guerini E278685 entity
Predicate familyName P18 FINISHED
Object Guerini
Guerini is a French surname most notably borne by Stanislas Guerini, a contemporary French politician.
 E942912 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: Guerini | Statement: [Stanislas Guerini, familyName, Guerini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guerini
Context triple: [Stanislas Guerini, familyName, Guerini]
  • A. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • B. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • C. Guglielmi
    Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
  • D. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • E. Gemmano
    Gemmano is a small Italian hill town in the Emilia-Romagna region, known for its historic center and scenic location near the Adriatic coast.
  • 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: Guerini
Triple: [Stanislas Guerini, familyName, Guerini]
Generated description
Guerini is a French surname most notably borne by Stanislas Guerini, a contemporary French politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guerini
Target entity description: Guerini is a French surname most notably borne by Stanislas Guerini, a contemporary French politician.
  • A. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • B. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • C. Guglielmi
    Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
  • D. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • E. Gemmano
    Gemmano is a small Italian hill town in the Emilia-Romagna region, known for its historic center and scenic location near the Adriatic coast.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c373088190bc2ae77a1696d280 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83c8ac2c8190b3bba7db42734f3a completed April 27, 2026, 3:42 p.m.
NEDg Description generation batch_69ef96b13be881908102ffa867f96c22 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efb51113708190998b570c33b9d0e7 completed April 27, 2026, 7:12 p.m.
Created at: April 8, 2026, 9:40 p.m.