Triple

T3065763
Position Surface form Disambiguated ID Type / Status
Subject Shame E62100 entity
Predicate producer P490 FINISHED
Object Emile Sherman E68536 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: Emile Sherman | Statement: [Shame, producer, Emile Sherman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emile Sherman
Context triple: [Shame, producer, Emile Sherman]
  • A. Emile Sherman chosen
    Emile Sherman is an Australian film and television producer best known for co-producing the Academy Award–winning film "The King’s Speech" and co-founding the production company See-Saw Films.
  • B. Frederic McLaughlin
    Frederic McLaughlin was an American businessman and sports executive best known for establishing and owning the NHL’s Chicago Blackhawks in the early 20th century.
  • C. Samuel Shellabarger
    Samuel Shellabarger was an American novelist and historian best known for his popular mid-20th-century historical adventure novels.
  • D. Alvan Adams
    Alvan Adams is a former American professional basketball player best known as a versatile center/forward for the Phoenix Suns during the 1970s and 1980s.
  • E. Horace Cleveland
    Horace Cleveland was a prominent 19th-century American landscape architect known for designing parks, cemeteries, and urban green spaces across the United States.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fc01dc81908fbdf7c1ef73afe4 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5627344648190b2794d4e71524bf4 completed March 14, 2026, 1:28 p.m.
Created at: March 8, 2026, 3:02 p.m.