Triple

T1224117
Position Surface form Disambiguated ID Type / Status
Subject A Guy Named Joe E26287 entity
Predicate editor P1954 FINISHED
Object George Boemler E52466 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: George Boemler | Statement: [A Guy Named Joe, editor, George Boemler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Boemler
Context triple: [A Guy Named Joe, editor, George Boemler]
  • A. George Boemler chosen
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • B. Walter Naegle
    Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
  • C. Edwin Blashfield
    Edwin Blashfield was an American muralist and painter best known for his large-scale allegorical works in prominent public buildings across the United States.
  • D. William Sachse
    William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
  • E. Alfred P. Boller
    Alfred P. Boller was an American civil engineer known for designing major infrastructure projects in the late 19th and early 20th centuries.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be233fd88190996faf4105c0b8d7 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69afa0333e40819086d963491946e28b completed March 10, 2026, 4:38 a.m.
Created at: March 1, 2026, 7:47 p.m.