Triple

T16580668
Position Surface form Disambiguated ID Type / Status
Subject Arline Judge E402820 entity
Predicate name P16 FINISHED
Object Arline Judge E402820 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: Arline Judge | Statement: [Arline Judge, name, Arline Judge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arline Judge
Context triple: [Arline Judge, name, Arline Judge]
  • A. Arline Judge chosen
    Arline Judge was an American film and stage actress active primarily in the 1930s and 1940s, known for her work in comedies and B-movies.
  • B. Ann Prentiss
    Ann Prentiss was an American character actress known for her supporting roles in film and television during the 1960s and 1970s.
  • C. Norma Crane
    Norma Crane was an American actress best known for her role as Golde, Tevye’s wife, in the film adaptation of the musical "Fiddler on the Roof."
  • D. Arline Greenbaum
    Arline Greenbaum was the first wife of physicist Richard Feynman, remembered for their deeply devoted relationship during her struggle with tuberculosis in the 1940s.
  • E. Ruth Rumsey
    Ruth Rumsey was the wife of William J. Donovan, the famed American soldier, lawyer, and head of the Office of Strategic Services during World War II.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35960834c819080eed0c9f32b881d completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef0bc4c8190b06b03c06d344abf completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.