Triple

T15449235
Position Surface form Disambiguated ID Type / Status
Subject Liga ACB MVP E370103 entity
Predicate notableWinner P2766 FINISHED
Object Nicolo Melli
Nicolo Melli is an Italian professional basketball player known for his versatile forward play in top European leagues and international competitions.
E1458841 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: Nicolo Melli | Statement: [Liga ACB MVP, notableWinner, Nicolo Melli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolo Melli
Context triple: [Liga ACB MVP, notableWinner, Nicolo Melli]
  • A. Giovanni Molari
    Giovanni Molari is an Italian academic and engineer who serves as rector of the historic University of Bologna.
  • B. Lorenzo Bartolini
    Lorenzo Bartolini is a fictional character from the romantic drama film "Letters to Juliet," serving as the long-lost love whom the protagonists search for in Italy.
  • C. Niccolò Antonelli
    Niccolò Antonelli is an Italian professional motorcycle road racer who has competed in the Moto3 World Championship.
  • D. Giacomo Rossi
    Giacomo Rossi was an Italian librettist best known for writing texts for early 18th-century operas, including works set by George Frideric Handel.
  • E. Lorenzo Mieli
    Lorenzo Mieli is an Italian film and television producer known for backing acclaimed auteur-driven projects and international festival titles.
  • 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: Nicolo Melli
Triple: [Liga ACB MVP, notableWinner, Nicolo Melli]
Generated description
Nicolo Melli is an Italian professional basketball player known for his versatile forward play in top European leagues and international competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nicolo Melli
Target entity description: Nicolo Melli is an Italian professional basketball player known for his versatile forward play in top European leagues and international competitions.
  • A. Giovanni Molari
    Giovanni Molari is an Italian academic and engineer who serves as rector of the historic University of Bologna.
  • B. Lorenzo Bartolini
    Lorenzo Bartolini is a fictional character from the romantic drama film "Letters to Juliet," serving as the long-lost love whom the protagonists search for in Italy.
  • C. Niccolò Antonelli
    Niccolò Antonelli is an Italian professional motorcycle road racer who has competed in the Moto3 World Championship.
  • D. Giacomo Rossi
    Giacomo Rossi was an Italian librettist best known for writing texts for early 18th-century operas, including works set by George Frideric Handel.
  • E. Lorenzo Mieli
    Lorenzo Mieli is an Italian film and television producer known for backing acclaimed auteur-driven projects and international festival titles.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef9334c81908541e231b43eb012 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09276e98588190ad3bdb9d04a19584 completed May 17, 2026, 2:26 a.m.
NEDg Description generation batch_6a0928a53e3c8190a8e636f5f1387f73 completed May 17, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0929485ebc8190ab8bc316b3e802ca completed May 17, 2026, 2:34 a.m.
Created at: April 10, 2026, 3:21 a.m.