Triple

T13254947
Position Surface form Disambiguated ID Type / Status
Subject James Broughton E315632 entity
Predicate notableWork P4 FINISHED
Object High Kukus
High Kukus is a poetic film work by American avant-garde filmmaker and poet James Broughton.
E1031138 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: High Kukus | Statement: [James Broughton, notableWork, High Kukus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Kukus
Context triple: [James Broughton, notableWork, High Kukus]
  • A. Kokovoko
    Kokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
  • B. Hoher Kasten
    Hoher Kasten is a prominent mountain in the Alpstein range of northeastern Switzerland, known for its panoramic views and revolving restaurant near the summit.
  • C. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • D. Kesten
    Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
  • E. Bugaloo
    Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
  • 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: High Kukus
Triple: [James Broughton, notableWork, High Kukus]
Generated description
High Kukus is a poetic film work by American avant-garde filmmaker and poet James Broughton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: High Kukus
Target entity description: High Kukus is a poetic film work by American avant-garde filmmaker and poet James Broughton.
  • A. Kokovoko
    Kokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
  • B. Hoher Kasten
    Hoher Kasten is a prominent mountain in the Alpstein range of northeastern Switzerland, known for its panoramic views and revolving restaurant near the summit.
  • C. Kukarka
    Kukarka is a small Russian locality historically known as the birthplace of Soviet politician Vyacheslav Molotov.
  • D. Kesten
    Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
  • E. Bugaloo
    Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7517048190b4eac4e44e81ff66 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3d6b808190b4ae5225961de03f completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70bc5111c8190ae5b098c806bb845 completed May 3, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:24 p.m.