Triple

T15959408
Position Surface form Disambiguated ID Type / Status
Subject Gabriel LaBelle E387017 entity
Predicate portrayed P1668 FINISHED
Object Sammy Fabelman E387016 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: Sammy Fabelman | Statement: [Gabriel LaBelle, portrayed, Sammy Fabelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sammy Fabelman
Context triple: [Gabriel LaBelle, portrayed, Sammy Fabelman]
  • A. Sammy Fabelman chosen
    Sammy Fabelman is the fictional, semi-autobiographical stand-in for Steven Spielberg in the film "The Fabelmans," depicting his coming-of-age and early passion for filmmaking.
  • B. Sammy Jankis
    Sammy Jankis is a pivotal, memory-impaired character from the film "Memento," whose tragic condition mirrors and foreshadows the protagonist’s own struggles.
  • C. Sammy Cohen
    Sammy Cohen was an American film actor and comedian active in the 1920s and 1930s, known for his supporting roles in Hollywood comedies and war films.
  • D. Hyman Bloom
    Hyman Bloom was a Latvian-born American painter known for his expressive, often mystical figurative works and his influential role in the mid-20th-century Boston Expressionist movement.
  • E. Sammy Ofer
    Sammy Ofer was an Israeli shipping magnate and billionaire philanthropist known for building one of the world’s largest private maritime fleets and supporting major cultural and educational institutions.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fe82d081908b5d41bc5a709de2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe806ef4819095a4dfe104d0bdc8 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.