Triple

T6444541
Position Surface form Disambiguated ID Type / Status
Subject Jesper Christensen E138307 entity
Predicate notableWork P4 FINISHED
Object The Bench
The Bench is a film featuring Danish actor Jesper Christensen in a prominent role.
 E593970 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: The Bench | Statement: [Jesper Christensen, notableWork, The Bench]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Bench
Context triple: [Jesper Christensen, notableWork, The Bench]
  • A. The Bench
    The Bench is the dedicated student cheering section for University of California, Berkeley football games, known for its energetic support and traditions during Big Game and other home matchups.
  • B. The Bench
    "The Bench" is a children's picture book by Meghan, Duchess of Sussex, that reflects on the bond between fathers and sons through a mother's perspective.
  • C. Benchers
    Benchers are senior members of the Inns of Court in England and Wales who are responsible for governing and overseeing the administration, discipline, and affairs of their respective Inn.
  • D. Benched
    Benched is a television series featuring Mehcad Brooks in a prominent role.
  • E. Clerk’s Table
    The Clerk’s Table is the central desk in the House of Commons chamber where parliamentary clerks sit to provide procedural advice and manage official records during debates.
  • 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: The Bench
Triple: [Jesper Christensen, notableWork, The Bench]
Generated description
The Bench is a film featuring Danish actor Jesper Christensen in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Bench
Target entity description: The Bench is a film featuring Danish actor Jesper Christensen in a prominent role.
  • A. The Bench
    The Bench is the dedicated student cheering section for University of California, Berkeley football games, known for its energetic support and traditions during Big Game and other home matchups.
  • B. The Bench
    "The Bench" is a children's picture book by Meghan, Duchess of Sussex, that reflects on the bond between fathers and sons through a mother's perspective.
  • C. Benchers
    Benchers are senior members of the Inns of Court in England and Wales who are responsible for governing and overseeing the administration, discipline, and affairs of their respective Inn.
  • D. Benched
    Benched is a television series featuring Mehcad Brooks in a prominent role.
  • E. Clerk’s Table
    The Clerk’s Table is the central desk in the House of Commons chamber where parliamentary clerks sit to provide procedural advice and manage official records during debates.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698c17ec81909f6bbcbe636a67fd completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bca1e3c81909c50177286b92ce5 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64c5e5e5c8190b24aea7e4114daa5 completed March 27, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_69c64da81a0881908fc5716aeb0e47fa completed March 27, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:46 p.m.