Triple

T15508282
Position Surface form Disambiguated ID Type / Status
Subject Georgia (1995 film) E379138 entity
Predicate director P255 FINISHED
Object Ulu Grosbard E457478 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: Ulu Grosbard | Statement: [Georgia (1995 film), director, Ulu Grosbard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulu Grosbard
Context triple: [Georgia (1995 film), director, Ulu Grosbard]
  • A. Ulu Grosbard chosen
    Ulu Grosbard was a Belgian-born American film and theater director known for his nuanced, character-driven dramas such as "Straight Time" and "Georgia."
  • B. Ely Landau
    Ely Landau was an American film and television producer best known for founding the American Film Theatre, which adapted notable stage plays into feature films.
  • C. Uriel Weinreich
    Uriel Weinreich was a prominent linguist known for his pioneering work in Yiddish studies, language contact, and sociolinguistics.
  • D. Azriel Rosenfeld
    Azriel Rosenfeld was a pioneering computer scientist widely regarded as one of the founders of computer image analysis and digital image processing.
  • E. Jan Ezrin
    Jan Ezrin is the wife of renowned Canadian music producer Bob Ezrin.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff454eafe48190a481b4adb8388395 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:55 a.m.