Triple

T2662549
Position Surface form Disambiguated ID Type / Status
Subject MLS Cup 2015 E54757 entity
Predicate goalScorer P2695 FINISHED
Object Diego Valeri E137867 NE FINISHED

How this triple was built (2 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: Diego Valeri | Statement: [MLS Cup 2015, goalScorer, Diego Valeri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diego Valeri
Context triple: [MLS Cup 2015, goalScorer, Diego Valeri]
  • A. Diego Valeri chosen
    Diego Valeri is an Argentine attacking midfielder best known as a star playmaker and club icon for Major League Soccer’s Portland Timbers.
  • B. Roberto Díaz
    Roberto Díaz is a renowned violist and music educator who has served as president and CEO of the Curtis Institute of Music.
  • C. Diego Ruiz
    Diego Ruiz is a Spanish chess grandmaster known for his competitive achievements and contributions to international chess tournaments.
  • D. Roberto Henríquez
    Roberto Henríquez is an editor known for his work on the film "Brave."
  • E. Diego Laínez
    Diego Laínez was a 16th-century Spanish Jesuit priest and theologian who succeeded Ignatius of Loyola as the second Superior General of the Society of Jesus and played a key role at the Council of Trent.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd969eff08190a206ad6424ba34d6 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055bd41108190920b7397c16d15f5 completed March 10, 2026, 5:32 p.m.
Created at: March 6, 2026, 9:53 p.m.