Triple

T4374497
Position Surface form Disambiguated ID Type / Status
Subject Mr. Deeds Goes to Town E98971 entity
Predicate cinematographyBy P1953 FINISHED
Object Joseph Walker E319628 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: Joseph Walker | Statement: [Mr. Deeds Goes to Town, cinematographyBy, Joseph Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Walker
Context triple: [Mr. Deeds Goes to Town, cinematographyBy, Joseph Walker]
  • A. Joseph Walker chosen
    Joseph Walker was a prominent American cinematographer best known for his influential work during Hollywood’s Golden Age, particularly in collaboration with director Frank Capra.
  • B. Edward Walker
    Edward Walker is the protective and secretive leader of the isolated 19th-century-style community in M. Night Shyamalan’s film "The Village."
  • C. Rob Walker
    Rob Walker is a technology entrepreneur best known as a co-founder of the semiconductor company LSI Logic.
  • D. John Williams Walker
    John Williams Walker was an early 19th-century American politician who served as one of Alabama’s first U.S. senators and played a key role in the state’s early political development.
  • E. Don Walker
    Don Walker was a prominent American orchestrator and arranger best known for his work on numerous Broadway musicals in the mid-20th century.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35220fa648190b116e786783a7eba completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627dd58dc819090d81177849fdc63 completed March 15, 2026, 3:30 a.m.
Created at: March 12, 2026, 11:17 p.m.