Triple

T3167714
Position Surface form Disambiguated ID Type / Status
Subject Engadget E66252 entity
Predicate founder P104 FINISHED
Object Peter Rojas E408761 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: Peter Rojas | Statement: [Engadget, founder, Peter Rojas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Rojas
Context triple: [Engadget, founder, Peter Rojas]
  • A. Peter Rojas chosen
    Peter Rojas is a technology journalist and entrepreneur best known as the co-founder of influential tech blogs including Engadget and Gizmodo.
  • B. Rodrigo Prieto
    Rodrigo Prieto is a renowned Mexican cinematographer known for his visually distinctive work on major films by directors such as Martin Scorsese and Alejandro G. Iñárritu.
  • C. Esteban Loaiza
    Esteban Loaiza is a former Mexican Major League Baseball pitcher who enjoyed a long career highlighted by multiple All-Star selections and a standout 2003 season with the Chicago White Sox.
  • D. Jorge Campuzano
    Jorge Campuzano was a Mexican architect best known for co-designing Mexico City’s iconic National Museum of Anthropology, a landmark of modernist museum architecture.
  • E. Eduardo Navarro
    Eduardo Navarro is a contemporary artist known for his conceptual and often participatory works that explore perception, time, and the relationship between humans and their environment.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6457acc8190b2b9acbd1cfcdb91 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5627344648190b2794d4e71524bf4 completed March 14, 2026, 1:28 p.m.
Created at: March 8, 2026, 3:06 p.m.