Triple

T2645023
Position Surface form Disambiguated ID Type / Status
Subject Knight of Cups E62962 entity
Predicate editedBy P1954 FINISHED
Object Geoffrey Richman
Geoffrey Richman is a film editor known for his work on feature films such as "Knight of Cups."
 E285457 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: Geoffrey Richman | Statement: [Knight of Cups, editedBy, Geoffrey Richman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geoffrey Richman
Context triple: [Knight of Cups, editedBy, Geoffrey Richman]
  • A. Luc Simon
    Luc Simon is a French painter best known for his marriage to artist and writer Françoise Gilot.
  • B. John Morris
    John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
  • C. Steve Robson
    Steve Robson is a British songwriter and record producer known for his work with major pop and rock artists, contributing to numerous chart-topping hits.
  • D. Ken Walters
    Ken Walters is a distinguished scientist in the field of rheology, recognized for his influential research on the flow and deformation of complex fluids.
  • E. Craig Nourse
    Craig Nourse is an individual notable enough to be recognized as a bearer of the surname Nourse, though specific widely known public details about him are not readily available.
  • 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: Geoffrey Richman
Triple: [Knight of Cups, editedBy, Geoffrey Richman]
Generated description
Geoffrey Richman is a film editor known for his work on feature films such as "Knight of Cups."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geoffrey Richman
Target entity description: Geoffrey Richman is a film editor known for his work on feature films such as "Knight of Cups."
  • A. Luc Simon
    Luc Simon is a French painter best known for his marriage to artist and writer Françoise Gilot.
  • B. John Morris
    John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
  • C. Steve Robson
    Steve Robson is a British songwriter and record producer known for his work with major pop and rock artists, contributing to numerous chart-topping hits.
  • D. Ken Walters
    Ken Walters is a distinguished scientist in the field of rheology, recognized for his influential research on the flow and deformation of complex fluids.
  • E. Craig Nourse
    Craig Nourse is an individual notable enough to be recognized as a bearer of the surname Nourse, though specific widely known public details about him are not readily available.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd917192081908e7a2cf780a17b83 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c50d108190b716dd51c34d3759 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af9952a95881908d01aa13f5feef43 completed March 10, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_69af99e68f10819094d758d3a4bc2e9c completed March 10, 2026, 4:11 a.m.
Created at: March 6, 2026, 9:53 p.m.