Triple

T9237728
Position Surface form Disambiguated ID Type / Status
Subject Liz Goldwyn E221978 entity
Predicate hasRelative P367 FINISHED
Object Samuel Goldwyn E58833 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: Samuel Goldwyn | Statement: [Liz Goldwyn, hasRelative, Samuel Goldwyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Goldwyn
Context triple: [Liz Goldwyn, hasRelative, Samuel Goldwyn]
  • A. Samuel Goldwyn chosen
    Samuel Goldwyn was a pioneering American film producer and studio executive who played a key role in shaping Hollywood’s early motion picture industry.
  • B. Louis B. Mayer
    Louis B. Mayer was a powerful Hollywood film producer and studio executive who co-founded Metro-Goldwyn-Mayer (MGM) and became one of the most influential figures of the studio era.
  • C. Dean Zanuck
    Dean Zanuck is an American film producer and member of the prominent Zanuck filmmaking family, known for working on major Hollywood projects.
  • D. Jesse L. Lasky Jr.
    Jesse L. Lasky Jr. was an American screenwriter known for his work on major Hollywood epics and adventure films in the mid-20th century.
  • E. Jesse L. Lasky
    Jesse L. Lasky was a pioneering American film producer and co-founder of Paramount Pictures who played a key role in the development of early Hollywood cinema.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09f9e908190801fe114c5e63984 completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0e351e7a08190b4abb8747a84871b completed April 4, 2026, 10:09 a.m.
Created at: March 30, 2026, 7:30 p.m.