Triple

T16597342
Position Surface form Disambiguated ID Type / Status
Subject Molteni salami company E403242 entity
Predicate hasBrand P1500 FINISHED
Object Molteni
Molteni is a brand of Italian salami products known for producing traditional cured meats.
 E1222896 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: Molteni | Statement: [Molteni salami company, hasBrand, Molteni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Molteni
Context triple: [Molteni salami company, hasBrand, Molteni]
  • A. Molteni
    Molteni was a prominent Italian professional cycling team best known for being the dominant squad of legendary rider Eddy Merckx during the late 1960s and early 1970s.
  • B. Cassina
    Cassina is an Italian furniture company renowned for its high-end, design-led modern and contemporary furnishings and collaborations with iconic architects and designers.
  • C. Maderna
    Maderna is an Italian surname most notably associated with Bruno Maderna, a prominent 20th-century composer and conductor linked to the postwar avant-garde.
  • D. Tamburini
    Tamburini is an Italian-origin surname borne by various notable figures, including architects, musicians, and designers.
  • E. Bertati
    Bertati is an alternative name for Berta, a given name used in various cultures, often as a diminutive or variant of names like Roberta or Alberta.
  • 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: Molteni
Triple: [Molteni salami company, hasBrand, Molteni]
Generated description
Molteni is a brand of Italian salami products known for producing traditional cured meats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Molteni
Target entity description: Molteni is a brand of Italian salami products known for producing traditional cured meats.
  • A. Molteni
    Molteni was a prominent Italian professional cycling team best known for being the dominant squad of legendary rider Eddy Merckx during the late 1960s and early 1970s.
  • B. Cassina
    Cassina is an Italian furniture company renowned for its high-end, design-led modern and contemporary furnishings and collaborations with iconic architects and designers.
  • C. Maderna
    Maderna is an Italian surname most notably associated with Bruno Maderna, a prominent 20th-century composer and conductor linked to the postwar avant-garde.
  • D. Tamburini
    Tamburini is an Italian-origin surname borne by various notable figures, including architects, musicians, and designers.
  • E. Bertati
    Bertati is an alternative name for Berta, a given name used in various cultures, often as a diminutive or variant of names like Roberta or Alberta.
  • 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.