Triple

T6966274
Position Surface form Disambiguated ID Type / Status
Subject George Jefferson E161495 entity
Predicate neighbor P350 FINISHED
Object Harry Bentley E164741 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: Harry Bentley | Statement: [George Jefferson, neighbor, Harry Bentley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Bentley
Context triple: [George Jefferson, neighbor, Harry Bentley]
  • A. Harry Bentley chosen
    Harry Bentley is a quirky, soft-spoken British neighbor and United Nations translator on the classic American sitcom "The Jeffersons."
  • B. Henry Snodgrass
    Henry Snodgrass was an American Major League Baseball outfielder who played in the early 20th century, best remembered for his time with the New York Giants.
  • C. Howard Bannister
    Howard Bannister is the mild-mannered, musicologist protagonist played by Ryan O'Neal in the screwball comedy film "What's Up, Doc?".
  • D. Charles Butterworth
    Charles Butterworth was an American comic film actor of the 1930s and early 1940s, known for his dry, dithering persona in numerous Hollywood comedies.
  • E. Henry Buckley
    Henry Buckley is a personal name shared by several notable individuals, including politicians, journalists, and public figures.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db121174819098e73e45f6c9cc91 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758a57b8481908cef7de9b3abf7a3 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.