Triple

T17606763
Position Surface form Disambiguated ID Type / Status
Subject Sweet Smell of Success E428852 entity
Predicate editedBy P1954 FINISHED
Object Alan Crosland Jr. 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: Alan Crosland Jr. | Statement: [Sweet Smell of Success, editedBy, Alan Crosland Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Crosland Jr.
Context triple: [Sweet Smell of Success, editedBy, Alan Crosland Jr.]
  • A. Alan Crosland Jr. chosen
    Alan Crosland Jr. was an American film editor and director active in mid-20th-century Hollywood, known for his work on numerous studio features and television productions.
  • B. Alan Crosland
    Alan Crosland was an American film director best known for pioneering early sound cinema with the landmark film "The Jazz Singer" (1927).
  • C. Donald Calthrop
    Donald Calthrop was a British stage and film actor of the early 20th century, known for his character roles in numerous British productions, including several early Alfred Hitchcock films.
  • D. Brian Boland
    Brian Boland is an American actor best known for his role in the horror film "Paranormal Activity 2."
  • E. Bob Kelso
    Bob Kelso is a fictional, often sarcastic and bureaucratic chief of medicine on the television series "Scrubs."
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4ccef08190aeaa88670364bd74 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.