Triple

T10810751
Position Surface form Disambiguated ID Type / Status
Subject Tea for Two E255092 entity
Predicate producer P490 FINISHED
Object William Jacobs E236800 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: William Jacobs | Statement: [Tea for Two, producer, William Jacobs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Jacobs
Context triple: [Tea for Two, producer, William Jacobs]
  • A. William Jacobs chosen
    William Jacobs was an American film producer active during Hollywood's studio era, known for overseeing a range of genre films including classic horror titles.
  • B. Charles Guggenheim
    Charles Guggenheim was an American documentary filmmaker renowned for his politically engaged and historically focused films, earning multiple Academy Awards over his career.
  • C. Richard E. Jacobs
    Richard E. Jacobs was an American real estate developer and former owner of the Cleveland Indians baseball team, known for his significant role in revitalizing downtown Cleveland.
  • D. Arthur Jacobson
    Arthur Jacobson was an American film assistant director recognized in early Hollywood for his award-winning work during the 1930s studio era.
  • E. Arthur Jibilian
    Arthur Jibilian was a U.S. Navy radioman and Office of Strategic Services (OSS) operative renowned for his role in coordinating the rescue of hundreds of downed Allied airmen during World War II.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b7bfac8190b6ae34144376d6ad completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f49c59538081909102a6954f564e46 completed May 1, 2026, 12:28 p.m.
Created at: April 8, 2026, 9:18 p.m.