Triple

T3740702
Position Surface form Disambiguated ID Type / Status
Subject Chiquita Brands International E79690 entity
Predicate foundedBy P104 FINISHED
Object Andrew W. Preston E220310 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: Andrew W. Preston | Statement: [Chiquita Brands International, foundedBy, Andrew W. Preston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew W. Preston
Context triple: [Chiquita Brands International, foundedBy, Andrew W. Preston]
  • A. Andrew W. Preston chosen
    Andrew W. Preston was an American businessman best known as a pioneering figure in the tropical fruit trade and a key architect of the modern banana industry.
  • B. Adrian D. Smith
    Adrian D. Smith is an American architect renowned for designing some of the world’s tallest and most iconic skyscrapers.
  • C. Michael T. Sauer
    Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
  • D. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • E. Andrew D. Martin
    Andrew D. Martin is an American political scientist and academic administrator who serves as the chancellor of Washington University in St. Louis.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb5344fc8190b183aca5c04e3bcc completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4fce13c8190bedd5c2afe93567c completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:34 p.m.