Triple

T12327779
Position Surface form Disambiguated ID Type / Status
Subject Teddy Schwarzman E293877 entity
Predicate founded P104 FINISHED
Object Black Bear Pictures E218645 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: Black Bear Pictures | Statement: [Teddy Schwarzman, founded, Black Bear Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Bear Pictures
Context triple: [Teddy Schwarzman, founded, Black Bear Pictures]
  • A. Black Bear Pictures chosen
    Black Bear Pictures is an independent film production company known for financing and producing critically acclaimed feature films.
  • B. Black Bears
    The Black Bears are the athletic teams representing the University of Maine in collegiate sports.
  • C. Group of Bears
    Group of Bears is a bronze sculpture by American artist Paul Manship, celebrated for its stylized depiction of playful bears in his characteristic Art Deco-influenced style.
  • D. Blue Bear
    Blue Bear is the official mascot of Livingstone College, representing the school’s athletic teams and campus spirit.
  • E. Old Bull Pictures
    Old Bull Pictures is a film production company known for its work on the crime drama "A Most Violent Year."
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4f90a881908c5060dd197744d1 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8f0c708190ac16a391089ab747 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.