Triple

T14053809
Position Surface form Disambiguated ID Type / Status
Subject De Grasse E338159 entity
Predicate hasNotableBearer P458 FINISHED
Object Sam De Grasse E67233 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: Sam De Grasse | Statement: [De Grasse, hasNotableBearer, Sam De Grasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam De Grasse
Context triple: [De Grasse, hasNotableBearer, Sam De Grasse]
  • A. Sam De Grasse chosen
    Sam De Grasse was a Canadian-born silent film actor best known for his villainous roles in early Hollywood adventure and drama films.
  • B. Sam Hargrave
    Sam Hargrave is an American stunt coordinator, actor, and film director best known for directing the action film "Extraction" and for his extensive stunt work in major Hollywood productions, including the Marvel Cinematic Universe.
  • C. Barrett Deems
    Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
  • D. Charlie Corwin
    Charlie Corwin is an American television and film producer and media executive known for developing and overseeing a wide range of unscripted and scripted entertainment projects.
  • E. Robert De Grasse
    Robert De Grasse was an American cinematographer known for his work on numerous Hollywood films from the 1920s through the 1950s, including several RKO productions.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8bc54c8190a12f0fc056568538 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefaabd0819098870522a6ce850c completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:20 p.m.