Triple

T7510471
Position Surface form Disambiguated ID Type / Status
Subject University of Oklahoma E177505 entity
Predicate president P8 FINISHED
Object Joseph Harroz Jr. E198486 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: Joseph Harroz Jr. | Statement: [University of Oklahoma, president, Joseph Harroz Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Harroz Jr.
Context triple: [University of Oklahoma, president, Joseph Harroz Jr.]
  • A. Joseph Harroz Jr. chosen
    Joseph Harroz Jr. is an American academic administrator and lawyer who serves as the president of the University of Oklahoma.
  • B. Hiram Garcia
    Hiram Garcia is a film producer and longtime collaborator of Dwayne Johnson, known for producing major action and adventure movies through Seven Bucks Productions.
  • C. René Gonzalez
    René Gonzalez is a French theater director and cultural figure best known for his influential leadership and programming at major European stages, including the Théâtre de Vidy in Lausanne.
  • D. Juan Alejandrez
    Juan Alejandrez is a character in Laura Esquivel's novel "Like Water for Chocolate," known primarily as the husband of Gertrudis.
  • E. Jeff Betancourt
    Jeff Betancourt is an American film editor and director known for his work on major studio features, including action and horror films.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d1e1a4819090bf4cbacdbdc7d0 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461035b48190ba08c0f759cafe4a completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.