Triple

T6148983
Position Surface form Disambiguated ID Type / Status
Subject Chivas USA E137148 entity
Predicate notablePlayer P304 FINISHED
Object Jonathan Bornstein E214118 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: Jonathan Bornstein | Statement: [Chivas USA, notablePlayer, Jonathan Bornstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Bornstein
Context triple: [Chivas USA, notablePlayer, Jonathan Bornstein]
  • A. Jonathan Bornstein chosen
    Jonathan Bornstein is an American soccer player and defender best known for his long career in Major League Soccer and appearances with the United States men's national team.
  • B. Dan Bornstein
    Dan Bornstein is a software engineer best known as the creator and lead architect of Android’s original Dalvik virtual machine.
  • C. Allen Weinstein
    Allen Weinstein was an American historian and professor who served as the ninth Archivist of the United States, overseeing the National Archives and Records Administration.
  • D. Michael Saltzman
    Michael Saltzman is a screenwriter best known for co-writing the 2006 reboot of "The Pink Panther" starring Steve Martin.
  • E. Philip Brenner
    Philip Brenner is a scholar and author known for his work on U.S. foreign policy and Latin American studies, often collaborating with historian James G. Blight.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce21820819096be9159d6b70a5f completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13608944481909e22df6131a06e41 completed March 23, 2026, 12:46 p.m.
Created at: March 22, 2026, 4:16 p.m.