Triple

T2546594
Position Surface form Disambiguated ID Type / Status
Subject Kitty Foyle E57916 entity
Predicate editor P1954 FINISHED
Object Henry Berman E187217 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: Henry Berman | Statement: [Kitty Foyle, editor, Henry Berman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Berman
Context triple: [Kitty Foyle, editor, Henry Berman]
  • A. Henry Berman chosen
    Henry Berman was an American film editor and producer known for his work on numerous classic Hollywood films.
  • B. Howard E. Tatel
    Howard E. Tatel was an American radio astronomer after whom the 85-foot Howard E. Tatel Radio Telescope at the National Radio Astronomy Observatory was named.
  • C. Stanley Rosenblum
    Stanley Rosenblum was a film editor best known for his work on major Hollywood productions, including the boxing sequel "Rocky II."
  • D. Wilbur J. Cohen
    Wilbur J. Cohen was a prominent American social welfare expert and government official, often called the "father of Social Security" for his central role in shaping U.S. social insurance and welfare policy in the 20th century.
  • E. Glenn Fleshler
    Glenn Fleshler is an American character actor known for his intense and often menacing roles in film and television, including appearances in projects like "True Detective," "Billions," and "Joker."
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e5152c8190b31a5e732d0dde44 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb66d08008190a319b19b56b6ea0d completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:47 p.m.