Triple

T9392824
Position Surface form Disambiguated ID Type / Status
Subject Stanley R. Jaffe E226064 entity
Predicate notableWork P4 FINISHED
Object School Ties E646912 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: School Ties | Statement: [Stanley R. Jaffe, notableWork, School Ties]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School Ties
Context triple: [Stanley R. Jaffe, notableWork, School Ties]
  • A. School Ties chosen
    School Ties is a 1992 American drama film about antisemitism and class prejudice at an elite 1950s prep school, starring Brendan Fraser and Matt Damon.
  • B. In School
    In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
  • C. After School
    "After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
  • D. Cooley High
    Cooley High is a 1975 coming-of-age comedy-drama film set in 1960s Chicago that follows a group of Black high school friends navigating adolescence, friendship, and hardship.
  • E. Family Ties
    Family Ties is a popular 1980s American sitcom that follows the Keaton family as they navigate generational and political differences with humor and heart.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd510fec6481908b51c497744068c8 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10108cd0c8190a38ee2325d3475ce completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:45 p.m.