Triple

T19935306
Position Surface form Disambiguated ID Type / Status
Subject The Subject Was Roses E479159 entity
Predicate filmAdaptationDirector P255 FINISHED
Object Ulu Grosbard NE NERFINISHED

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: [The Subject Was Roses, filmAdaptationDirector, Ulu Grosbard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulu Grosbard
Context triple: [The Subject Was Roses, filmAdaptationDirector, 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. Iby Fleischman
    Iby Fleischman is an individual honored as a namesake of the Iby and Aladar Fleischman Faculty of Engineering, indicating a significant contribution or connection to engineering or higher education.
  • D. Uriel Weinreich
    Uriel Weinreich was a prominent linguist known for his pioneering work in Yiddish studies, language contact, and sociolinguistics.
  • E. Azriel Rosenfeld
    Azriel Rosenfeld was a pioneering computer scientist widely regarded as one of the founders of computer image analysis and digital image processing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a161a6c819084165ea528ec2f64 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.