Triple

T2651547
Position Surface form Disambiguated ID Type / Status
Subject Layer Cake E53909 entity
Predicate starring P1507 FINISHED
Object Jamie Foreman
Jamie Foreman is a British character actor known for his tough-guy roles in film and television, including notable appearances in crime dramas.
E285874 NE FINISHED

How this triple was built (4 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: Jamie Foreman | Statement: [Layer Cake, starring, Jamie Foreman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamie Foreman
Context triple: [Layer Cake, starring, Jamie Foreman]
  • A. Sean Freeman
    Sean Freeman is a contemporary graphic artist and illustrator known for his distinctive, atmospheric typography and cover art for books and other media.
  • B. Keith Fraase
    Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
  • C. Michael Sexton
    Michael Sexton is an American businessman best known for co-founding and running the controversial real estate training venture Trump University alongside Donald Trump.
  • D. Ryan Crocker
    Ryan Crocker is a veteran American diplomat and former U.S. ambassador to multiple Middle Eastern countries, noted for his key role in U.S. foreign policy in the region.
  • E. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jamie Foreman
Triple: [Layer Cake, starring, Jamie Foreman]
Generated description
Jamie Foreman is a British character actor known for his tough-guy roles in film and television, including notable appearances in crime dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jamie Foreman
Target entity description: Jamie Foreman is a British character actor known for his tough-guy roles in film and television, including notable appearances in crime dramas.
  • A. Sean Freeman
    Sean Freeman is a contemporary graphic artist and illustrator known for his distinctive, atmospheric typography and cover art for books and other media.
  • B. Keith Fraase
    Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
  • C. Michael Sexton
    Michael Sexton is an American businessman best known for co-founding and running the controversial real estate training venture Trump University alongside Donald Trump.
  • D. Ryan Crocker
    Ryan Crocker is a veteran American diplomat and former U.S. ambassador to multiple Middle Eastern countries, noted for his key role in U.S. foreign policy in the region.
  • E. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • F. None of above. chosen

Provenance (5 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93071248190820197936e3167f7 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98ce81fc8190b7c6c66acfcb87c7 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af99416924819099d4acb1a2d60e0c completed March 10, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_69af99adadb08190a44f2286b25bf0aa completed March 10, 2026, 4:10 a.m.
Created at: March 6, 2026, 9:53 p.m.