Triple

T18072537
Position Surface form Disambiguated ID Type / Status
Subject Albert Band E432466 entity
Predicate name P16 FINISHED
Object Albert Band 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: Albert Band | Statement: [Albert Band, name, Albert Band]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Band
Context triple: [Albert Band, name, Albert Band]
  • A. Albert Band chosen
    Albert Band was an American film director, producer, and screenwriter known for his work in low-budget genre films and collaborations with independent studios.
  • B. Eugene W. Hilgard
    Eugene W. Hilgard was a prominent 19th-century soil scientist and geologist known as a pioneer of modern soil science in the United States.
  • C. Benjamín Bloom
    Benjamín Bloom was a prominent Salvadoran pediatrician whose contributions to child healthcare led to a major national children’s hospital in El Salvador being named in his honor.
  • D. Paul Mowrer
    Paul Mowrer was an American journalist and foreign correspondent who won the first Pulitzer Prize for foreign correspondence in 1929.
  • E. Russell Atkinson
    Russell Atkinson is a computer scientist known for his work in programming language design, including contributions to the development of the CLU language.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccef022c81909be41b2c3a3ee68e completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.