Triple

T17648377
Position Surface form Disambiguated ID Type / Status
Subject Garnier E429420 entity
Predicate hasNotableBearer P458 FINISHED
Object Tony Garnier NE NERFINISHED

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: Tony Garnier | Statement: [Garnier, hasNotableBearer, Tony Garnier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Garnier
Context triple: [Garnier, hasNotableBearer, Tony Garnier]
  • A. Tony Garnier
    Tony Garnier was a pioneering French architect and urban planner known for his influential early 20th-century designs and theoretical work on the modern industrial city.
  • B. Tony Garnier chosen
    Tony Garnier is an American bassist and longtime musical director best known for his decades-spanning role in Bob Dylan’s touring and recording bands.
  • C. Leland Hayward
    Leland Hayward was a prominent American theatrical and film producer and talent agent known for backing major Broadway hits and influential Hollywood projects in the mid-20th century.
  • D. Louis Terah Haggin
    Louis Terah Haggin was an American art collector and philanthropist whose legacy is closely tied to the founding and endowment of the Haggin Museum in Stockton, California.
  • E. Stuart Heisler
    Stuart Heisler was an American film and television director known for his work in Hollywood from the 1930s through the 1960s, including dramas, thrillers, and war films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3bc2f8819092e3365d9e798386 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.