Triple

T20361158
Position Surface form Disambiguated ID Type / Status
Subject Slackers E496782 entity
Predicate castMember P1668 FINISHED
Object James King
James King is an actor known for appearing in the 2002 comedy film "Slackers."
E1427102 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: James King | Statement: [Slackers, castMember, James King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James King
Context triple: [Slackers, castMember, James King]
  • A. James King
    James King was an 18th-century British naval officer and explorer who helped complete and edit the published account of Captain James Cook’s final Pacific voyage.
  • B. James King
    James King is a musician best known as a member of Bruno Mars's backing band, The Hooligans.
  • C. James King
    James King is the wealthy, naive investment banker portrayed by Will Ferrell in the comedy film "Get Hard," who must prepare for an impending prison sentence with the help of his car washer.
  • D. James King
    James King was a member of the King family of Omaha, Nebraska, best known as the sibling of Leslie Lynch King Sr., the biological father of U.S. President Gerald Ford.
  • E. Jackson King
    Jackson King is a powerful telekinetic and telepathic superhero in the WildStorm comics universe, best known for his central role in the government-sponsored metahuman team Stormwatch.
  • 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: James King
Triple: [Slackers, castMember, James King]
Generated description
James King is an actor known for appearing in the 2002 comedy film "Slackers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James King
Target entity description: James King is an actor known for appearing in the 2002 comedy film "Slackers."
  • A. James King
    James King was an 18th-century British naval officer and explorer who helped complete and edit the published account of Captain James Cook’s final Pacific voyage.
  • B. James King
    James King is the wealthy, naive investment banker portrayed by Will Ferrell in the comedy film "Get Hard," who must prepare for an impending prison sentence with the help of his car washer.
  • C. James King
    James King is a musician best known as a member of Bruno Mars's backing band, The Hooligans.
  • D. James King
    James King was a member of the King family of Omaha, Nebraska, best known as the sibling of Leslie Lynch King Sr., the biological father of U.S. President Gerald Ford.
  • E. Jackson King
    Jackson King is a powerful telekinetic and telepathic superhero in the WildStorm comics universe, best known for his central role in the government-sponsored metahuman team Stormwatch.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6786de5988190827584358c9db147 completed April 20, 2026, 7:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08708592f481908de58a0d359af01f completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a0871146b248190ac91cf010a984e1f completed May 16, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0871a818688190ad69bcf84e33d014 completed May 16, 2026, 1:31 p.m.
Created at: April 16, 2026, 11:25 a.m.