Triple

T9535525
Position Surface form Disambiguated ID Type / Status
Subject Little Women (1949 film) E230004 entity
Predicate editor P1954 FINISHED
Object Harold F. Kress E155211 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: Harold F. Kress | Statement: [Little Women (1949 film), editor, Harold F. Kress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harold F. Kress
Context triple: [Little Women (1949 film), editor, Harold F. Kress]
  • A. Harold F. Kress chosen
    Harold F. Kress was an American film editor renowned for his work on numerous classic Hollywood films and for winning multiple Academy Awards for Best Film Editing.
  • B. Arthur M. Bueche
    Arthur M. Bueche was an influential engineer and research executive whose leadership in advancing technology and public policy in industry led to a prestigious engineering award being named in his honor.
  • C. Harold M. Shaw
    Harold M. Shaw was an early American film director and actor known for his pioneering work in silent cinema during the 1910s.
  • D. Harold C. Mayer
    Harold C. Mayer was an American financier best known as one of the co-founders of the investment bank Bear Stearns.
  • E. Robert L. Lippert
    Robert L. Lippert was an American film producer and distributor known for his prolific output of low-budget genre movies from the 1940s through the 1960s.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98cd6a5c8190835c0910ec38ede3 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161355e2c819099c8e6b974f97608 completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 8 p.m.