Triple

T16597361
Position Surface form Disambiguated ID Type / Status
Subject Gianni Motta E403243 entity
Predicate familyName P18 FINISHED
Object Motta
Motta is an Italian surname borne by various notable figures in sports, politics, and the arts.
E1222899 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: Motta | Statement: [Gianni Motta, familyName, Motta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motta
Context triple: [Gianni Motta, familyName, Motta]
  • A. Mulazzano
    Mulazzano is a small municipality in the Lombardy region of northern Italy, situated within commuting distance of Milan.
  • B. Segariu
    Segariu is a small municipality in southern Sardinia, Italy, known for its rural character and agricultural traditions.
  • C. Papaleo
    Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
  • D. Michelago
    Michelago is a small rural village in New South Wales, Australia, situated south of Canberra and known for its pastoral landscape and historic railway connections.
  • E. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • 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: Motta
Triple: [Gianni Motta, familyName, Motta]
Generated description
Motta is an Italian surname borne by various notable figures in sports, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Motta
Target entity description: Motta is an Italian surname borne by various notable figures in sports, politics, and the arts.
  • A. Mulazzano
    Mulazzano is a small municipality in the Lombardy region of northern Italy, situated within commuting distance of Milan.
  • B. Segariu
    Segariu is a small municipality in southern Sardinia, Italy, known for its rural character and agricultural traditions.
  • C. Papaleo
    Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
  • D. Michelago
    Michelago is a small rural village in New South Wales, Australia, situated south of Canberra and known for its pastoral landscape and historic railway connections.
  • E. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d7367308190bf57b4a6a7bd33cc completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759fe6ec81908c5321dcba558269 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a007825547c81909230ac39761fba96 completed May 10, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a00788e103481908d40bbe4a3cb1695 completed May 10, 2026, 12:22 p.m.
Created at: April 10, 2026, 5:16 a.m.